3D Texture Mapping with Offset Coefficients for VR Image Quality
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Solution Overview
Problem
Existing image processing methods for virtual reality (VR) image acquisition suffer from poor flexibility due to fixed and unchangeable vertex texture coordinates, leading to suboptimal display effects and limited adaptability.
Innovation Solution
An image processing method that determines flexible mapping regions in texture images using correspondence and offset coefficients, allowing for adjustable mapping regions to improve VR image quality and flexibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If preset vertex texture coordinates are used to acquire mapping regions, then the mapping process is simple, but the flexibility of VR image acquisition is poor
Solution Approach 1:
The patent introduces offset coefficients that can be dynamically adjusted to modify the mapping regions. Instead of using fixed preset vertex texture coordinates, the system allows dynamic adjustment of the mapping region ranges through offset coefficients, enabling flexible adaptation to different VR image acquisition requirements while maintaining a relatively simple mapping process.
Solution Approach 2:
The patent changes the parameters of the mapping process by introducing offset coefficients that modify the vertex texture coordinates. By adjusting these offset parameters, the mapping regions can be flexibly expanded or contracted to adapt to different texture image qualities and requirements, transforming the fixed parameter system into a variable one.
2Ease of manufacture
If fixed mapping regions are used in texture images, then the processing is straightforward, but the display effect of VR image is poor
Solution Approach 1:
The patent modifies the mapping region parameters by introducing offset coefficients that can adjust the size and position of mapping regions. This allows the system to optimize the mapping regions for better display effects while maintaining a relatively straightforward processing approach, resolving the contradiction between processing simplicity and display quality.
Solution Approach 2:
The system transitions from static fixed mapping regions to dynamic adjustable mapping regions through offset coefficients. This enables the mapping regions to be adaptively adjusted to improve VR image display effects, particularly in handling texture images with poor quality or varying characteristics.
3Productivity
If preset vertex texture coordinates are used, then the model acquisition is efficient, but adaptability to different texture qualities is limited
Solution Approach 1:
The patent introduces offset coefficients as adjustable parameters that can be modified based on texture image quality. This allows the model acquisition process to maintain efficiency while adapting to different texture qualities by dynamically changing the mapping region parameters, thus resolving the contradiction between acquisition efficiency and adaptability.
Solution Approach 2:
The system transforms the static model acquisition process into a dynamic one by incorporating offset coefficients that can be adjusted according to texture quality. This enables the acquisition process to remain efficient while becoming adaptable to various texture image characteristics and quality levels.
Data Source
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AI summary
The present disclosure provides an image processing method, an apparatus and an electronic device. The method includes: determining N texture images corresponding to a first image, and a correspondence between the N texture images and N model faces of a three-dimensional model, where N is an integer greater than 1; determining, according to the correspondence and an offset coefficient, a mapping region corresponding to each model face in the N texture images, where the mapping region is at least partial region of a texture image; mapping mapping regions in the N texture images to the three-dimensional model to obtain a three-dimensional image corresponding to the first image. A display effect of the three-dimensional image is improved and flexibility of three-dimensional image acquisition is improved.