Invention Application
- Patent Title: MACHINE-LEARNING BASED COLLISION DETECTION FOR OBJECTS IN VIRTUAL ENVIRONMENTS
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Application No.: US17217339Application Date: 2021-03-30
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Publication No.: US20220319096A1Publication Date: 2022-10-06
- Inventor: Thomas Daniel PERRY , Gabor SINES , Mehdi SAEEDI , Allen H. RUSH
- Applicant: ADVANCED MICRO DEVICES, INC. , ATI TECHNOLOGIES ULC
- Applicant Address: US CA Santa Clara; CA Markham
- Assignee: ADVANCED MICRO DEVICES, INC.,ATI TECHNOLOGIES ULC
- Current Assignee: ADVANCED MICRO DEVICES, INC.,ATI TECHNOLOGIES ULC
- Current Assignee Address: US CA Santa Clara; CA Markham
- Main IPC: G06T15/06
- IPC: G06T15/06 ; G06T17/20 ; G06N3/02

Abstract:
An apparatus includes a processor and a collision detection unit operatively coupled to the processor. The collision detection unit is configured to process, using a machine learning model, one or more parameters associated with a ray cast in virtual environment comprising an object. The machine learning model is configured to approximate a mesh representing the object. The collision detection unit is further configured to determine if the ray collides with the object based on processing the one or more parameters. In response to determining if the ray collides with the object, the collision detection unit is configured to generate collision data associated with the ray and the object.
Information query
IPC分类:
G | 物理 |
G06 | 计算;推算或计数 |
G06T | 一般的图像数据处理或产生 |
G06T15/00 | 3D〔三维〕图像的加工 |
G06T15/06 | .光线跟踪 |