3D Depth Image Generation Using Partial Image Segmentation
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Solution Overview
Problem
The complexity of processing large 3D depth images captured by two cameras increases, reducing the speed of image processing in generating stereoscopic images.
Innovation Solution
A 3D depth image generating system and method that uses partial images from two cameras, focusing on specific portions of the object, such as a hand and face, to reduce image processing complexity by capturing and combining smaller partial images rather than entire images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If two complete images are processed to generate 3D depth image, then the completeness of depth information is improved, but the image processing complexity increases
Solution Approach 1:
The patent divides the complete images into multiple sub-images (first sub-image and second sub-image) containing key features. By processing only these segmented portions rather than complete images, the system reduces processing complexity while maintaining sufficient depth information for gesture recognition.
Solution Approach 2:
The patent extracts only the necessary key feature portions from complete images to create sub-images. This extraction process removes redundant information while preserving essential depth data, thereby reducing processing complexity without significantly compromising depth information completeness.
2Measurement precision
If two complete images are processed to generate 3D depth image, then the accuracy of depth image is improved, but the image processing time increases
Solution Approach 1:
The patent segments complete images into smaller sub-images containing only key features. This segmentation reduces the total number of pixels requiring processing, thereby decreasing image processing time while maintaining sufficient accuracy for identifying operative motions through depth analysis.
Solution Approach 2:
The patent applies partial action by processing only the necessary portions (sub-images) rather than complete images. This partial processing approach reduces computation time while providing sufficient depth accuracy for the intended application of gesture recognition.
3Productivity
If partial images are used to generate 3D depth image, then the image processing speed is improved, but the coverage of image area decreases
Solution Approach 1:
The patent segments images into sub-images focusing on key feature areas. This segmentation enables faster processing of reduced image areas while concentrating computational resources on regions containing operative motion information, thereby improving processing speed without sacrificing critical coverage.
Solution Approach 2:
The patent applies local quality by differentiating between key feature areas (requiring detailed processing) and non-key areas (which can be reduced or excluded). Sub-images focus computational effort on locally important regions, improving overall processing speed while maintaining sufficient coverage of motion-relevant areas.
Data Source
AI summary
A 3-dimensional depth image generating system and method thereof are provided. The 3-dimensional depth image generating system includes a first and a second camera devices and an image processing device. The first and the second camera devices are apart for a predetermined distance, and respectively captures an object to obtain a firs and a second images. The image processing device is connected with the first and the second camera devices and respectively obtains a first and a second partial images, wherein the first and the second partial images both include a first predetermined portion and a second predetermined portion of the object, and sizes of the first partial image and the second partial image are respectively smaller than that of the first image and the second image. Wherein, the image processing device combines the first and the second partial images to generate a 3-dimensional depth image of the object.