View source for 18573198. INFORMATION PROCESSING DEVICE AND METHOD simplified abstract (Sony Group Corporation)

=INFORMATION PROCESSING DEVICE AND METHOD=


==Organization Name==

[[:Category:Sony Group Corporation|Sony Group Corporation]]


[[Category:Sony Group Corporation]]

==Inventor(s)==

[[:Category:Satoru Kuma of Tokyo (JP)|Satoru Kuma of Tokyo (JP)]][[Category:Satoru Kuma of Tokyo (JP)]]

[[:Category:Tsuyoshi Kato of Kanagawa (JP)|Tsuyoshi Kato of Kanagawa (JP)]][[Category:Tsuyoshi Kato of Kanagawa (JP)]]

[[:Category:Kao Hayashi of Kanagawa (JP)|Kao Hayashi of Kanagawa (JP)]][[Category:Kao Hayashi of Kanagawa (JP)]]

[[:Category:Ohji Nakagami of Tokyo (JP)|Ohji Nakagami of Tokyo (JP)]][[Category:Ohji Nakagami of Tokyo (JP)]]

==INFORMATION PROCESSING DEVICE AND METHOD - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18573198 titled 'INFORMATION PROCESSING DEVICE AND METHOD

'''Simplified Explanation:'''
The patent application describes a method to improve encoding efficiency by deleting internal vertices of a mesh representing a 3D object, generating vertex connection information, and encoding it. The process also involves decoding coded data to reconstruct vertices and connections using the obtained information.

* Internal vertices of a mesh representing a 3D object are deleted to improve encoding efficiency.
* Vertex connection information is generated to indicate vertices and connections within the mesh.
* The vertex connection information is encoded to facilitate data processing.
* Coded data of boundary vertices is decoded to reconstruct vertices and connections within a patch of a geometry image.

'''Potential Applications:'''
1. 3D modeling and animation software.
2. Virtual reality and augmented reality applications.
3. Computer-aided design (CAD) tools.
4. Gaming industry for realistic graphics.
5. Medical imaging for visualizing complex structures.

'''Problems Solved:'''
1. Reduction in encoding efficiency.
2. Complex data processing in 3D modeling.
3. Efficient reconstruction of 3D objects.
4. Streamlining data transfer in virtual environments.

'''Benefits:'''
1. Improved efficiency in encoding 3D data.
2. Enhanced visualization of complex structures.
3. Streamlined data processing for faster rendering.
4. Better user experience in virtual environments.
5. Increased accuracy in reconstructing 3D objects.

'''Commercial Applications:'''
The technology can be utilized in industries such as gaming, animation, virtual reality, CAD software development, and medical imaging for improved data processing, visualization, and user experience.

'''Questions about 3D Object Encoding:'''
1. How does the deletion of internal vertices improve encoding efficiency?
2. What are the potential applications of this technology in the medical field?

'''Frequently Updated Research:'''
Researchers are constantly exploring new algorithms and techniques to further enhance the efficiency and accuracy of 3D object encoding and reconstruction processes. Stay updated on the latest advancements in this field for improved results.


==Original Abstract Submitted==

There is provided an information processing apparatus, an electronic device, an information processing method, and a program capable of suppressing reduction in encoding efficiency. At least some of internal vertices which are vertices of a mesh representing an object having a three-dimensional structure and positioned other than the boundary of a patch of a geometry are deleted, vertex connection information indicating the vertices of the mesh and connections between the vertices is generated, and the vertex connection information is encoded. Furthermore, coded data of vertex connection information indicating boundary vertices which are vertices of a mesh representing an object having a three-dimensional structure and positioned at least at the boundary of a patch of a geometry and connections between the boundary vertices is decoded, and the vertices positioned in the patch and the connections between the vertices are reconstructed using the vertex connection information obtained by decoding the coded data and a geometry image in which the patch is arranged on a two-dimensional plane.



[[Category:G06T9/00]]
[[Category:CPC_G06T9/001]]