Adaptive 3D Imaging System Motion Compensation Depth Rendering
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Solution Overview
Problem
Conventional 3D imaging systems are unable to adapt to the distinct characteristics of images, such as motion and stillness, leading to ineffective 2D-to-3D transformation.
Innovation Solution
A 3D imaging system incorporating a motion estimation and motion compensation unit, depth controller, and depth-image-based rendering unit to generate adaptive 3D images by partitioning frames based on motion vector information and creating depth maps, allowing for dynamic rendering of 3D images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional 3D imaging systems use fixed 2D-to-3D transformation techniques, then the system structure is simple, but the system cannot adapt to distinct characteristics of images (motion and stillness)
Solution Approach 1:
The patent applies dynamics by making the 3D imaging system adaptive to different image characteristics. The system dynamically switches between two modes: motion estimation and compensation mode for moving objects, and depth map generation mode for static scenes. This dynamic adaptation allows the system to optimize performance based on whether the input image contains motion or stillness, directly resolving the contradiction between adaptability and system complexity.
Solution Approach 2:
The patent changes the processing parameters based on image characteristics. When motion is detected, the system uses motion vectors and compensation techniques with specific parameter sets. When the scene is static, it switches to depth map generation with different parameters. This parameter switching enables the system to adapt to distinct image characteristics without requiring a completely different system architecture for each case.
2Reliability
If the system performs motion estimation and compensation for all frames, then motion handling is improved, but processing time and computational load increase
Solution Approach 1:
The patent applies local quality by performing motion estimation and compensation only on regions or frames that contain motion, rather than uniformly processing all frames. The system analyzes image characteristics to identify moving regions and applies the computationally intensive motion handling techniques only where needed, while using simpler processing for static regions. This selective approach improves motion handling accuracy where required while reducing overall processing time.
Data Source
AI summary
A three-dimensional (3D) imaging system and method are disclosed. A motion estimation and motion compensation (MEMC) unit performs the motion estimation (ME) and the motion compensation (MC) on a reference frame and a current frame, thereby generating an MEMC generated frame and motion vector (MV) information. A depth controller partitions the reference frame into multiple regions according to the MV information, thereby generating depth information. A scene-mode depth generator generates a depth map according to the reference frame and the depth information. A depth-image-based rendering (DIBR) unit generates a scene-mode generated frame according to the reference frame and the depth map.