Composite Image Rendering via Depth Layer Segmentation
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Solution Overview
Problem
Current solutions for composing different image sources in real-time are limited by the need for similar perspective and viewpoint, and fail to effectively handle occlusions and maintain optimal image quality.
Innovation Solution
The apparatus and method involve obtaining two images with depth information, detecting regions of interest, segmenting them into individual layers, performing perspective and viewpoint compensation, and rendering the compensated layers with the second image to produce a composite image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If chroma keying or background subtraction is used for real-time composition, then composition speed is improved, but perspective and viewpoint compatibility is worsened (requiring nearly identical perspectives)
Solution Approach 1:
The patent introduces depth information (a fourth dimension beyond RGB) to enable composition of images with different perspectives. By capturing depth maps and performing 3D reconstruction, the system can transform images from different viewpoints into a common 3D space, then render them from a unified perspective, thus resolving the perspective compatibility limitation while maintaining real-time performance
Solution Approach 2:
The patent uses 3D point clouds and depth maps as intermediary representations between the source images and the final composite. These intermediaries encode spatial and geometric information that allows perspective transformation and occlusion handling, enabling flexible composition without requiring direct pixel-level operations between mismatched perspectives
2Adaptability or versatility
If 3D reconstruction with multiple RGB-D sensors is used, then viewpoint changing capability is improved, but device complexity is worsened
Solution Approach 1:
The patent segments the 3D reconstruction task into two parts: first capturing depth information from a single RGB-D sensor, then using computational methods to generate virtual viewpoints through 3D model manipulation. This segmentation eliminates the need for multiple physical sensors while achieving the same viewpoint changing capability
Solution Approach 2:
The patent creates a 3D copy or digital twin of the scene using depth information from a single sensor. This 3D model can then be rendered from any viewpoint computationally, replacing the need for multiple physical sensors that would otherwise be required to capture all possible viewpoints simultaneously
3Adaptability or versatility
If 3D rendering of reconstructed models is used, then viewpoint flexibility is improved, but image quality is worsened
Solution Approach 1:
The patent merges the advantages of both approaches by combining 3D reconstruction (for viewpoint flexibility) with direct image compositing techniques (for quality preservation). Specifically, it uses depth information from the single RGB-D sensor to guide layer segmentation and compositing operations, preserving the original image quality while achieving viewpoint flexibility through selective rendering of depth-layered components
Data Source
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AI summary
Apparatus, method, and computer program code for producing composite image. A method comprises: obtaining (150) a first image (130) with first depth information; obtaining (152) a second image (132) with second depth information; detecting (154) regions of interest in the first image (130); segmenting (156) the regions of interest into individual layers; performing (158) image compensation for the individual layers according to the first depth information so that in image compensated individual layers a perspective and/or a viewpoint of the first image (130) is modified to be more similar with the second image (132); and rendering (160) the image compensated individual layers with the second image (132) utilizing the first depth information and the second depth information in order to produce a composite image (134).