18316120. METHOD AND APPARATUS WITH ADAPTIVE SUPER SAMPLING simplified abstract (Samsung Electronics Co., Ltd.)
Contents
- 1 METHOD AND APPARATUS WITH ADAPTIVE SUPER SAMPLING
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD AND APPARATUS WITH ADAPTIVE SUPER SAMPLING - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
METHOD AND APPARATUS WITH ADAPTIVE SUPER SAMPLING
Organization Name
Inventor(s)
Hwiryong Jung of Suwon-si (KR)
Jaeyoung Moon of Suwon-si (KR)
Hyeonseung Yu of Suwon-si (KR)
METHOD AND APPARATUS WITH ADAPTIVE SUPER SAMPLING - A simplified explanation of the abstract
This abstract first appeared for US patent application 18316120 titled 'METHOD AND APPARATUS WITH ADAPTIVE SUPER SAMPLING
Simplified Explanation
An adaptive super sampling method described in the abstract involves rendering frames of a 3D model, determining motion vectors between pixels in the current and previous frames, generating geometric identifier maps (G-ID maps) based on 3D geometrical properties, creating an artifact map to predict artifacts from inter-frame super sampling, and performing adaptive super sampling on the current frame based on the artifact map.
- Rendering frames of a 3D model
- Determining motion vectors between pixels in current and previous frames
- Generating geometric identifier maps (G-ID maps) based on 3D geometrical properties
- Creating an artifact map to predict artifacts from inter-frame super sampling
- Performing adaptive super sampling on the current frame based on the artifact map
Potential Applications
The technology can be applied in the fields of computer graphics, animation, virtual reality, and video game development.
Problems Solved
1. Reduction of artifacts in super sampled frames 2. Improvement of image quality in 3D rendering
Benefits
1. Enhanced visual quality in rendered frames 2. More accurate motion representation in animations 3. Reduction of visual distortions in virtual reality environments
Potential Commercial Applications
Optimizing video game graphics, improving visual effects in movies, enhancing virtual reality experiences, and refining 3D modeling software.
Possible Prior Art
One possible prior art could be the use of motion vectors in video compression algorithms to predict pixel movement between frames.
Unanswered Questions
How does the adaptive super sampling method handle complex 3D geometries?
The method may struggle with intricate 3D models that have a high level of detail and numerous moving parts. Further research may be needed to optimize the process for such scenarios.
Can the artifact map accurately predict all potential artifacts in the super sampled frames?
While the artifact map helps in identifying potential artifacts, there may still be cases where unexpected visual distortions occur. Fine-tuning the algorithm could improve the accuracy of artifact prediction.
Original Abstract Submitted
An adaptive super sampling method includes: rendering frames of a three-dimensional (3D) model, the frames including a current frame and a previous frame preceding the current frame; determining motion vectors indicating a correspondence relationship between pixels in the current frame and pixels in the previous frame; generating a geometric identifier maps (G-ID maps) respectively corresponding to the current frame and the previous frame based on 3D geometrical properties associated with the pixels in the current frame and the previous frame; based on the motion vectors and the G-ID maps, generating an artifact map predicting where artifacts will occur from inter-frame super sampling of the current frame; and performing adaptive super sampling on the current frame based on the artifact map.
