1. A method for providing an anti-fouling function to a streamer to be towed under water for seismic survey data collection, the method comprising:
mixing a thermoplastic material with a biocide material to form an external sheath material; and
co-extruding an external sheath and a main sheath of the streamer such that the external sheath covers the main sheath and provides the anti-fouling function,
wherein the external sheath is formed from the external sheath material such that the biocide material is distributed throughout the external sheath, and
wherein the external sheath is thinner than the main sheath.
2. The method of claim 1, wherein the thermoplastic material is permeable to the biocide material.
3. The method of claim 1, wherein the biocide material includes copper.
4. The method of claim 3, wherein the external sheath includes between 75% and 85% copper such that the anti-foulinq function is achieved and the external sheath is not a conductor of electricity.
5. The method of claim 1, wherein the biocide material includes powdered silver.
6. The method of claim 1, wherein no solvent is used for the external sheath.
7. The method of claim 1, wherein the external sheath and the main sheath include the same thermoplastic material.
8. A method for providing an anti-fouling external sheath over a streamer to be towed under water for seismic survey data collection, the method comprising:
mixing a thermoplastic material with a biocide material to form an external sheath material; and
co-extruding the external sheath and a main sheath over a foam of the streamer such that the external sheath covers the main sheath and provides an anti-fouling function, wherein
the external sheath is formed from the external sheath material, and
cables and a tubular element are provided inside the foam,
wherein the foam is made of closed cells, and
wherein the external sheath and the main sheath include the same thermoplastic material, and the external sheath includes between 75% and 85% copper such that the anti-fouling function is achieved and the external sheath is not a conductor of electricity.
9. The method of claim 8, wherein the biocide material is distributed throughout the external sheath.
10. The method of claim 1, wherein the step of mixing comprises:
using granules of the thermoplastic material; and
using powdered copper material for the biocide material.
11. The method of claim 1, further comprising:
providing a tubular element inside the main sheath; and
locating cables inside the tubular element,
wherein the tubular element is a strength member.
12. The method of claim 11, further comprising:
locating the tubular element inside a volume of foam made of closed cells.
13. The method of claim 8, wherein the cables are located within the tubular element.
14. The method of claim 8, wherein the external sheath is thinner than the main sheath.
15. The method of claim 8, wherein the step of mixing comprises:
using granules of the thermoplastic material; and
using powdered copper material for the biocide material.
16. The method of claim 8, further comprising:
providing the tubular element inside the main sheath; and
locating the cables inside the tubular element,
wherein the tubular element is a strength member.
17. The method of claim 8, further comprising:
locating the tubular element inside the foam.
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, comprising:
providing a three-dimensional (3D) human model and a 3D outfit model, a plurality of vertices of the 3D human model being located at first positions;
providing a 3D outfit model, a plurality of vertices of the 3D outfit model being located at second positions;
in response to that the 3D human model is deformed and the vertices of the 3D human model are displaced from the first positions to third positions, adjusting the 3D outfit model corresponding to the 3D human model by setting each of the vertices of the 3D outfit model to fourth positions according to the second positions and displacements of the vertices of the 3D human model between the first positions and the third positions.
2. The method of claim 1, wherein the step of adjusting the 3D outfit model comprises selecting a plurality of sampled vertices from the vertices of the 3D human model, and each fourth position of each vertex of the 3D outfit model is individually calculated according to the second positions and the displacements of the sampled vertices of the 3D human model.
3. The method of claim 2, wherein the sampled vertices are all of the vertices of the 3D human model.
4. The method of claim 2, wherein the sampled vertices are selected by selecting N vertices from every neighboring K vertices of the 3D human model, and N, K are positive integers, 0<N<K.
5. The method of claim 2, wherein the sampled vertices are selected according to a geometry relationship between the 3D human model and the 3D outfit model.
6. The method of claim 5, wherein the sampled vertices are selected around a conjunction area between the 3D human model and the 3D outfit model.
7. The method of claim 2, wherein the step of adjusting the 3D outfit model further comprises:
calculating association weights between each vertex of the 3D outfit model and all of the sampled vertices; and
calculating the fourth positions of each of the vertices of the 3D outfit model according to the second positions, the association weights and the displacements of the vertices of the 3D human model between the first positions and the third positions.
8. The method of claim 7, wherein the association weights are negatively correlated to distances between each vertex of the 3D outfit model and the sampled vertices.
9. The method of claim 1, wherein the 3D human model comprises a human face model or a human head model, and the 3D outfit model comprises a hat model, a head kerchief model, an eyeglass model, a scarf model or a head accessory model.
10. The method of claim 1, wherein the 3D human model comprises a human body model, and the 3D outfit model comprises a clothing model, a footwear model or a body accessory model.
11. An electronic apparatus, comprising:
a storage module, configured for storing a 3D human model and a 3D outfit model, a plurality of vertices of the 3D human model being located at first positions, and a plurality of vertices of the 3D outfit model being located at second positions; and
at least one processor coupled with the storage module, the at least one processor being adapted to:
in response to that the 3D human model is deformed and the vertices of the 3D human model are displaced from the first positions to third positions, adjust the 3D outfit model corresponding to the 3D human model by setting each of the vertices of the 3D outfit model to fourth positions according to the second positions and displacements of the vertices of the 3D human model between the first positions and the third positions.
12. The electronic apparatus of claim 11, wherein the at least one processor selects a plurality of sampled vertices from the vertices of the 3D human model, and the at least one processor calculates each fourth position of each vertex of the 3D outfit model individually according to the second positions and the displacements of the sampled vertices of the 3D human model.
13. The electronic apparatus of claim 12, wherein the sampled vertices are all of the vertices of the 3D human model.
14. The electronic apparatus of claim 12, wherein the sampled vertices are selected by selecting N vertices from every neighboring K vertices of the 3D human model, and N, K are positive integers, 0<N<K.
15. The electronic apparatus of claim 12, wherein the sampled vertices are selected according to a geometry relationship between the 3D human model and the 3D outfit model.
16. The electronic apparatus of claim 15, wherein the sampled vertices are selected around a conjunction area between the 3D human model and the 3D outfit model.
17. The electronic apparatus of claim 12, wherein the at least one processor is further adapted to:
calculate association weights between each vertex of the 3D outfit model and all of the sampled vertices; and
calculate the fourth positions of each of the vertices of the 3D outfit model according to the second positions, the association weights and the displacements of the vertices of the 3D human model between the first positions and the third positions.
18. The electronic apparatus of claim 17, wherein the association weights are negatively correlated to distances between each vertex of the 3D outfit model and the sampled vertices.
19. The electronic apparatus of claim 11, wherein the 3D human model comprises a human face model or a human head model, and the 3D outfit model comprises a hat model, a head kerchief model, an eyeglass model, a scarf model or a head accessory model.
20. The electronic apparatus of claim 11, wherein the 3D human model comprises a human body model, and the 3D outfit model comprises a clothing model, a footwear model or a body accessory model.