Author: claimsbot

1. A system for repositioning teeth from an initial tooth arrangement to a final tooth arrangement, said system comprising a plurality of incremental position adjustment appliances comprising shells having cavities shaped to receive and reposition teeth, which appliances are successively worn by a patient to move teeth from one arrangement to a successive arrangement, wherein at least one of the appliances is a multi-layer shell appliance shaped to receive only upper arch teeth or lower arch teeth of the patient, the multi-layer shell appliance comprising a first polymeric material having a molecular structure which provides a first elastic modulus and the same appliance further comprising a second polymeric material of a different type having a molecular structure which provides a second elastic modulus, and wherein at least one of the appliances comprises a shell having a different geometry than that of at least one other appliance in the system, and wherein at least two different appliances of the system have different elastic moduluses and hardnesses with respect to each other, and wherein the first elastic modulus and the second elastic modulus each have a stiffness sufficient to impart a tooth moving force when the multi-layer shell appliance is worn by the patient.
2. A system as in claim 1, wherein the plurality of appliance further comprises:
an additional first appliance consisting entirely of the first material; and
an additional second appliance consisting entirely of the second material.
3. A system as in claim 2, further comprising:
an additional third appliance consisting entirely of a third material.
4. A system as in claim 2, further comprising:
an additional third appliance consisting entirely of either the first or second material.
5. A system as in claim 2, wherein the first material has an elastic modulus that is less than an elastic modulus of the second material.
6. A system as in claim 2, wherein the first material has an elastic modulus that is greater than an elastic modulus of the second material.
7. A system as in claim 2, wherein the additional first and second appliances have the same geometry.
8. A system as in claim 2, wherein the additional first and second appliances have different geometries.
9. A method for moving one or more of a patient’s teeth, the method comprising:
providing a first appliance for placement in the patient’s mouth;
providing a second appliance for subsequent placement in the patient’s mouth in place of the first appliance; and
providing a third appliance for subsequent placement in the patient’s mouth in place of the second appliance,
wherein at least one of the first, second and third appliances is a multi-layer shell appliance shaped to receive only upper arch teeth or lower arch teeth of the patient and further comprises a first polymeric material having a molecular structure which provides a first elastic modulus and the same appliance further comprising a second polymeric material having a molecular structure which provides a second elastic modulus that is different from the first elastic modulus, and
wherein each of the appliances comprise teeth receiving cavities shaped to receive and resiliently position the patient’s teeth and wherein at least one of the first, second and third appliances has teeth receiving cavities having a geometry that differs from a geometry of the teeth receiving cavities of one of the other appliances,
wherein each of the appliances is designed prior to providing the first appliance for placement in the patient’s mouth, and wherein the first elastic modulus and the second elastic modulus each have a stiffness sufficient to impart a tooth moving force when the multi-layer shell appliance is worn by the patient.

The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.

1. A method for object recognition of a three dimensional (3D) object, comprising the steps of:
obtaining at least one two dimensional (2D) representation of said object;
detecting image features in said obtained 2D representation;
recovering a highly probable 3D shape of said object of a certain object class consistent with 2D images of said object using at least one obtained image where 2D features are detected and using a learned statistical multi-view shape model of the shape variation; and
comparing said recovered 3D shape with a reference representation of at least one object of said object class.
2. The method according to claim 1, wherein said recovered 3D shape is a complete surface model.
3. The method according to claim 2, wherein said complete surface model is inferred from 2D or 3D features.
4. The method according to claim 1, wherein said object class contains non-rigid objects and said statistical shape model is learned using 2D and 3D data specific for possible deformations of the objects in said non-rigid object class.
5. The method according to claim 1, further comprising the step of identifying an individual object of an object class or aiding in the identification of an individual object using said recovered 3D shape.
6. The method according to claim 1, further comprising the step of verifying the identity of an individual object of an object class or aiding in the verification of the identity of an individual object using said recovered 3D shape.
7. The method according to claim 2, further comprising the step of: fitting a surface to said recovered 3D shape using a learned statistical shape model for said surface of the object in order to regularize said surface shape in a manner specific for said object class.
8. The method according to claim 1, wherein said object may be one or several of: a human face, a human body, inner organ(s) of a human body, blood vessel, animal, inner organs of an animal, a tumor, manufactured product(s) from an industrial process, a vehicle, an aircraft, a ship, military object(s).
9. The method according to claim 1, wherein said reference representation is stored in at least one of a non-volatile memory, database server, and personal identification card.
10. A device for object recognition of a three dimensional (3D) object, comprising:
means for obtaining at least one two dimensional (2D) representation of said object;
means for detecting image features in said obtained 2D representation;
means for recovering a highly probable 3D shape of said object of a certain object class consistent with 2D images of said object using one or more images where 2D features are detected and using a learned statistical multi-view shape model of the shape variation; and
means for comparing said recovered 3D shape with a reference representation of at least one object of said object class.
11. The device according to claim 10, wherein said recovered 3D shape is a complete surface model.
12. The device according to claim 11, wherein said complete surface model is inferred from 2D or 3D features.
13. The device according to claim 10, wherein said object class contains non-rigid objects and said statistical shape model is learned using 2D and 3D data specific for possible deformations of the objects in said non-rigid object class.
14. The device according to claim 10 further comprising means for identifying an individual object of an object class or aiding in the identification of an individual object using said recovered 3D shape.
15. The device according to claim 10, further comprising means for verifying the identity of an individual object of an object class or aiding in the verification of the identity of an individual object using said recovered 3D shape.
16. The device according to claim 11, further comprising means for: fitting a surface to said recovered 3D shape using a learned statistical shape model for said surface of the object in order to regularize said surface shape in a manner specific for said object class.
17. The device according to claim 10, wherein said object may be one or several of: a human face, a human body, inner organ(s) of a human body, blood vessel, animal, inner organs of an animal, a tumor, manufactured product(s) from an industrial process, a vehicle, an aircraft, a ship, military object(s).
18. The device according to claim 17, wherein said recovered 3D shapes of blood vessels or organs recovered from 2D projections, e.g. using X-ray imaging, are used for navigating steerable catheters or aiding physicians by displaying said recovered 3D shape.
19. The device according to claim 17, wherein said recovered 3D shapes of facial features are used to identify or to verify an identity of an individual in an access control system or security system, resulting in an acceptance or rejection of said individual.
20. The device according to claim 10, further comprising an interface for communicating with a personal identification card wherein said reference representation is stored.
21. A computer program stored in a computer readable storage medium and executed in a computational unit for object recognition of a three dimensional (3D) object, comprising:
an instruction set for obtaining at least one externally acquired two dimensional (2D) representation of said 3D object;
an instruction set for detecting image features in said obtained 2D representation;
an instruction set for recovering a highly probable 3D shape of said 3D object of a certain object class consistent with 2D images of said 3D object using one or more images where 2D features are detected and using a learned statistical multi-view shape model of the shape variation; and
an instruction set for comparing said recovered 3D shape with a reference representation of at least one object of said object class;
22. The computer program according to claim 21, further comprising an instruction set for identifying andor verifying an individual object of an object class or aiding in said identification andor verification of said individual object using said recovered 3D shape.
23. A system for object recognition of a three dimensional (3D) object, comprising:
means for obtaining at least one two dimensional (2D) representation of said 3D object;
means for detecting image features in said obtained 2D representation;
means for recovering a highly probable 3D shape of said 3D object of a certain object class consistent with 2D images of said 3D object using one or more images where 2D features are detected and using a learned statistical multi-view shape model of the shape variation;
means for comparing said recovered 3D shape with a reference representation of at least one object of said object class; and
means for responding to a result from said means for comparison.
24. The system according to claim 23, further comprising means for identifying andor verifying an individual object of an object class or aiding in said identification andor verification of said individual object using said recovered 3D shape.
25. The system according to claim 23, wherein said reference representation is stored in at least one of a non-volatile memory, database server, and personal identification card.

1. An unauthorized activity capture system comprising:
a tap configured to copy network data from a communication network; and
a controller coupled to the tap and configured to receive the copy of the network data from the tap, analyze the copy of the network data with a heuristic to determine if the network data is suspicious, flag the network data as suspicious based on the heuristic determination, and concurrently simulate transmission of the network data to a plurality of destination devices.
2. The system of claim 1 wherein the heuristic is configured to detect the network data sent to an unassigned internet protocol address.
3. The system of claim 1 wherein the tap is further configured to copy other network data from the communication network.
4. The system of claim 3 wherein the controller is further configured to receive the copy of the other network data from the tap, analyze the copy of the other network data with a heuristic to determine if the network data is suspicious, flag the other network data as suspicious based on the heuristic determination, concurrently simulate transmission of the second network data to an other plurality of destination devices, and concurrently analyze a first response from the plurality of destination devices and a second response form the other plurality of destination devices.
5. An unauthorized activity capture system comprising:
a tap configured to copy network data from a communication network; and
a controller configured to receive the copy of the network data from the tap, analyze the copy of the network data with a heuristic, retrieve a plurality of virtual machines, configure a first replayer to concurrently replicate the network data to the plurality of virtual machines, and analyze a first response by any of the plurality of virtual machines to identify unauthorized activity.
6. The system of claim 5 wherein the controller is configured to concurrently analyze a first response by any of the plurality of virtual machines and a second response by at least one other of the plurality of virtual machines to identify unauthorized activity.
7. The system of claim 5 wherein the heuristic is configured to detect the network data sent to an unassigned internet protocol address.
8. The system of claim 5 wherein the unauthorized activity is the result of malware associated with the network data.
9. The system of claim 5 wherein the unauthorized activity is the result of a hacker associated with the network data.
10. The system of claim 5 wherein the network data is replicated between the replayer and the plurality of virtual machines over a virtual switch.
11. The system of claim 5 wherein the tap is further configured to copy other network data from the communication network.
12. The system of claim 11 wherein the controller is further configured to receive the copy of the other network data from the tap, analyze the copy of the other network data with a heuristic, retrieve an other plurality of virtual machines, configure a second replayer to concurrently replicate the other network data to the other plurality of virtual machines, and concurrently analyze a first response by any of the plurality of virtual machines and a second response by any of the other plurality of virtual machines to identify unauthorized activity.
13. The system of claim 12 wherein the controller further comprises a virtual machine pool configured to store the plurality of virtual machines and the other plurality of virtual machines.
14. An unauthorized activity capture method comprising:
copying network data from a communication network;
analyzing the copied network data with a heuristic to determine if the network data is suspicious; and
concurrently orchestrating the transmission of the network data to a plurality of destination devices to identify unauthorized activity.
15. The method of claim 14 wherein concurrently orchestrating the transmission of the network data to a plurality of destination devices comprises:
retrieving a plurality of virtual machines configured to receive the network data;
configuring a first replayer to concurrently transmit the network data to the plurality of virtual machines; and
analyzing a first response by any of the plurality of virtual machines to identify unauthorized activity.
16. The method of claim 14 further comprising:
copying other network data from the communication network;
analyzing the copied other network data with a heuristic to determine if the other network data is suspicious;
concurrently orchestrating the transmission of the other network data to an other plurality of destination devices; and
concurrently analyzing a first response to the network data and a second response to the other network data to identify unauthorized activity.
17. The method of claim 15 further comprising:
retrieving an other plurality of virtual machines configured to receive the other network data;
configuring a second replayer to concurrently transmit the other network data to the other plurality of virtual machines; and
concurrently analyzing the first response by any of the plurality of virtual machines and a second response by any of the other plurality of virtual machines to identify unauthorized activity.
18. The method of claim 15 further comprising concurrently analyzing the first response by any of the plurality of virtual machines and a second response by any other of the plurality of virtual machines.
19. The method of claim 14 wherein the heuristic is configured to detect the network data sent to an unassigned internet protocol address.
20. The method of claim 14 wherein identifying the unauthorized activity includes identifying malware associated with the network data.
21. The method of claim 14 wherein identifying the unauthorized activity includes identifying of a hacker associated with the network data.
22. The method of claim 15 wherein the network data is transmitted between the replayer and the virtual machine over a virtual switch.
23. The method of claim 15 wherein retrieving the virtual machine includes accessing a virtual machine pool.
24. A computer readable medium comprising:
computer readable code configured to direct a processor to copy network data from a communication network, analyze the copied network data with a heuristic to determine if the network data is suspicious, and concurrently orchestrate transmission of the network data to a plurality of destination device to identify unauthorized activity.
25. The computer readable medium of claim 24 wherein concurrently orchestrating transmission of the network data comprises directing the processor to retrieve a plurality of virtual machines configured to receive the network data, configure a replayer to concurrently transmit the network data to the plurality of virtual machines, and concurrently simulate the transmission of the network data to the plurality of virtual machines.
26. The computer readable medium of claim 25 wherein the computer readable code is further configured to direct a processor to copy other network data from a communication network, analyze the copied other network data with a heuristic to determine if the network data is suspicious, concurrently orchestrate transmission of the other network data to an other plurality of destination device to identify unauthorized activity, and concurrently analyze a first response to the network data and a second response to the other network data.
27. The computer readable medium of claim 26 wherein concurrently analyzing a first response to the other network data and a second response to the other network data comprises directing the processor to retrieve an other plurality of virtual machines configured to receive the network data, configure a replayer to concurrently transmit the other network data to the other plurality of virtual machines, simulate the transmission of the other network data to the other plurality of virtual machines, and concurrently analyze a first response of any of the plurality of virtual machines and a second response of any of the other plurality of virtual machines to identify unauthorized activity.

The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.

1. A dispersed composition comprising: (A) titanium black; (B) a polymer compound comprising a constituent component having a side chain structure to which an acidic group is linked via a linking group; and (C) a solvent,
wherein:
the polymer compound (B) is a polymer compound comprising a constituent component represented by the following formula (1-2):
wherein, in formula (1-2), R1 represents an alkyl group, an aryl group, an alkoxy group, an aryloxy group, a heteroaryloxy group, an alkyloxycarbonyl group, an aryloxycarbonyl group, an alkylamide group, an arylamide group, a halogen atom or a nitro group; Q represents a carboxylic acid group; n represents an integer from 0 to 4; m represents an integer from 1 to 5; R2 represents a hydrogen atom or an alkyl group; and Y represents a divalent linking group;
the polymer compound (B) further comprises a graft chain having a polyester structure; and
the number of atoms other than hydrogen atoms per one graft chain is from 40 to 10,000.
2. The dispersed composition according to claim 1, wherein the divalent linking group represented by Y includes a functional group selected from the group consisting of an ester group, an amide group, and a sulfonamide group.
3. The dispersed composition according to claim 1, wherein the dispersed composition is a liquid obtained by dispersing, by a multistage dispersion method, a liquid containing (A) titanium black, (B) the polymer compound, and (C) the solvent.
4. The dispersed composition according to claim 1, wherein the divalent linking group represented by Y is selected from the group consisting of the following (Y-1) to (Y-22):
wherein, in (Y-1) to (Y-22), X represents a binding moiety to the main chain part of the polymer, and Z represents a moiety linked to the partial structure represented by the following formula (2):
wherein in formula (2), * represents a binding moiety to the divalent linking group selected from the group consisting of (Y-1) to (Y-22); R represents an alkyl group, an aryl group, an alkoxy group, an aryloxy group, a heteroaryloxy group, an alkyloxycarbonyl group, an aryloxycarbonyl group, an alkylamide group, an arylamide group, a halogen atom or a nitro group; Q represents a carboxylic acid group; n represents an integer from 0 to 4; and m represents an integer from 1 to 5.
5. The dispersed composition according to claim 4, wherein the divalent linking group represented by Y is Y-1.
6. The dispersed composition according to claim 1, wherein the graft chain comprises at least one structural unit selected from the group consisting of the following formulae (1) and (2):
wherein in formulae (1) and (2), X1 and X2 each independently represents a hydrogen atom or a monovalent organic group; Y1 and Y2 each independently represents a divalent linking group; Z1 and Z2 each independently represents a monovalent organic group; n represents an integer from 2 to 500, and m represents an integer from 1 to 500.
7. The dispersed composition according to claim 6, wherein Y1 and Y2 in formulae (1) and (2) each independently represents a linking group selected from the group consisting of the following (y-1) to (y-19):
wherein in (y-1) to (y-19), A and B represent a linking group to the main chain and a linking group to the graft chain of formulae (1) and (2), respectively.
8. The dispersed composition according to claim 6, wherein Z1 represents an alkoxy group having 5 to 24 carbon atoms and Z2 represents an alkylcarbonyloxy group having an alkyl moiety having 5 to 24 carbon atoms.
9. A photopolymerizable composition comprising: (A) titanium black; (B\u2032) a polymer compound comprising a constituent component having a side chain structure to which an acidic group is linked via a linking group that provides an adsorptive interaction with (A) the titanium black; (C) a solvent; (D) an oxime photoinitiator; and (E) a polymerizable compound,
wherein the polymer compound (B\u2032) further comprises a graft chain having a polyester structure; and
the number of atoms other than hydrogen atoms per one graft chain is from 40 to 10,000.
10. The photopolymerizable composition according to claim 9, wherein the oxime photoinitiator (D) is selected from the following compounds:
11. A light shielding color filter comprising a support and a colored region, the colored region being formed by applying the photopolymerizable composition according to claim 9 onto the support, and exposing and developing the photopolymerizable composition.
12. A solid-state imaging element comprising the light shielding color filter according to claim 11.
13. A wafer-level lens comprising the light shielding color filter according to claim 11.
14. An imaging unit comprising the wafer-level lens according to claim 13.
15. The photopolymerizable composition according to claim 9, wherein the polymer compound (B) is a polymer compound comprising a constituent component represented by the following formula (1-2):
wherein, in formula (1-2), R1 represents an alkyl group, an aryl group, an alkoxy group, an aryloxy group, a heteroaryloxy group, an alkyloxycarbonyl group, an aryloxycarbonyl group, an alkylamide group, an arylamide group, a halogen atom or a nitro group; Q represents a carboxylic acid group, n represents an integer from 0 to 4; m represents an integer from 1 to 5; R2 represents a hydrogen atom or an alkyl group; and Y represents a divalent linking group.
16. The photopolymerizable composition according to claim 15, wherein the divalent linking group represented by Y includes a functional group selected from the group consisting of an ester group, an amide group, and a sulfonamide group.
17. The photopolymerizable composition according to claim 15, wherein the divalent linking group represented by Y is selected from the group consisting of the following (Y-1) to (Y-22):
wherein, in (Y-1) to (Y-22), X represents a binding moiety to the main chain part of the polymer, and Z represents a moiety linked to the partial structure represented by the following formula (2):
wherein, in formula (2), * represents a binding moiety to the divalent linking group selected from the group consisting of (Y-1) to (Y-22); R represents an alkyl group, an aryl group, an alkoxy group, an aryloxy group, a heteroaryloxy group, an alkyloxycarbonyl group, an aryloxycarbonyl group, an alkylamide group, an arylamide group, a halogen atom or a nitro group; Q represents a carboxylic acid group; n represents an integer from 0 to 4; and m represents an integer from 1 to 5.
18. The photopolymerizable composition according to claim 17, wherein the divalent linking group represented by Y is Y-1.
19. The photopolymerizable composition according to claim 15, wherein the graft chain comprises at least one structural unit selected from the group consisting of the following formulae (1) and (2):
wherein in formulae (1) and (2), X1 and X2 each independently represents a hydrogen atom or a monovalent organic group; Y1 and Y2 each independently represents a divalent linking group; Z1 and Z2 each independently represents a monovalent organic group; n represents an integer from 2 to 500, and m represents an integer from 1 to 500.
20. The photopolymerizable composition according to claim 19, wherein Y1 and Y2 in formulae (1) and (2) each independently represents a linking group selected from the group consisting of the following (y-1) to (y-19):
wherein, in (y-1) to (y-19), A and B represent a linking group to the main chain and a linking group to the graft chain of formulae (1) and (2), respectively.
21. The photopolymerizable composition according to claim 19, wherein Z1 represents an alkoxy group having 5 to 24 carbon atoms and Z2 represents an alkylcarbonyloxy group having an alkyl moiety having 5 to 24 carbon atoms.
22. The photopolymerizable composition according to claim 9, wherein the polymerizable compound (E) is a compound obtained by adding ethylene oxide or propylene oxide to a polyfunctional alcohol and (meth)acrylating the resultant.
23. The photopolymerizable composition according to claim 9, wherein the polymerizable compound (E) is dipentaerythritol hexa(meth)acrylate.