Image Processing Apparatus for Depth-Aware Texture Deformation
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Solution Overview
Problem
Current image processing technologies fail to effectively enhance the depth perception of textures in images by deforming sample images to match the specified regions, resulting in unnatural-looking composite images.
Innovation Solution
An image processing apparatus comprising a region detection unit, an image processing unit, and an image composing unit that detects specified regions in an original image, deforms the shape and texture of a sample image to express depth, and overlays the deformed sample image onto the specified region, using affine or projective transformations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a sample image is overlaid on a specified region without deformation, then the processing is simple and fast, but the composite image looks unnatural and lacks depth perception
Solution Approach 1:
The patent applies dynamic deformation to the sample image by warping it according to the depth map of the specified region. Instead of using a static, rigid overlay, the system dynamically adjusts the sample image's geometry to match the three-dimensional structure of the target region, creating natural depth perception and realistic integration.
Solution Approach 2:
The system changes multiple parameters of the sample image simultaneously, including position, shape, size, and texture, based on the depth information of the specified region. This multi-parameter adjustment allows the sample image to adapt to the complex geometry of the target area, achieving realistic depth expression without excessive processing complexity.
2Manufacturing precision
If the shape of the sample image is deformed to match the specified region, then the composite image looks more natural, but the processing time and computational load increase
Solution Approach 1:
The system performs preliminary actions by first detecting the specified region and generating a depth map before deforming the sample image. This preparatory step organizes the geometric information in advance, allowing the subsequent deformation process to proceed more efficiently with clear guidance on how to warp the sample image to match the target region's shape.
Solution Approach 2:
The patent segments the image processing into distinct stages: region detection, depth map generation, sample image deformation, and composite image creation. This segmentation allows each step to be optimized independently, reducing overall processing time while maintaining high shape matching accuracy through specialized algorithms for each stage.
3Manufacturing precision
If the texture of the sample image is deformed to express depth, then the depth perception is enhanced, but the processing complexity increases
Solution Approach 1:
The patent replaces complex mechanical texture manipulation with a mathematical mapping approach. Instead of physically deforming texture elements, the system uses coordinate transformation based on the depth map to remap texture coordinates, achieving realistic depth expression through computational geometry rather than complex texture processing algorithms.
Data Source
AI summary
An image processing apparatus includes a region detection unit, an image processing unit, and an image composing unit. The region detection unit detects a specified region from an original image. The image processing unit deforms a shape of a sample image that is an image serving as a sample in accordance with a shape of the specified region and deforms a texture of the sample image so as to express a depth corresponding to the specified region. The image composing unit overlays the deformed sample image on the specified region of the original image.