Hand Region Compositing with Position-Based Noise Correction
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Solution Overview
Problem
Existing MR systems face challenges in accurately detecting and compositing the region of a hand due to variance in lightness caused by the lens, leading to inappropriate hand masking and compositing with CG images.
Innovation Solution
An image processing device and method that includes correction processing to reduce noise based on pixel position, setting a reduction intensity for noise, detecting the hand region, and compositing a CG image with the corrected hand region.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If noise reduction processing is applied to captured images, then noise is reduced, but hand region detection accuracy deteriorates due to amplified noise effects
Solution Approach 1:
The patent applies correction processing to the captured image before noise reduction processing. This preliminary correction compensates for lens-induced lightness variance and noise amplification effects, creating a corrected image that maintains hand region detection accuracy while still allowing subsequent noise reduction to suppress harmful noise.
Solution Approach 2:
The patent changes the parameter of image correction by applying position-dependent correction amounts to compensate for lens effects. By adjusting correction parameters based on pixel position, the system optimizes both noise reduction effectiveness and hand region detection accuracy simultaneously.
2Manufacturing precision
If correction processing is applied to compensate for lens effects, then image quality improves, but processing time increases
Solution Approach 1:
The patent applies local quality correction by using position-dependent correction amounts that are specific to different regions of the image. Rather than applying uniform correction, the system tailors correction parameters to local characteristics, improving image quality in critical regions while minimizing overall processing time through selective correction.
Data Source
AI summary
An image processing device acquires a second image, obtained by subjecting a pixel of a first image, in which a hand is captured, to correction processing with a correction amount in accordance with a position of the pixel in the first image. The image processing device sets a reduction intensity of noise of the second image, on the basis of the correction amount of the correction processing to a position of the hand. The image processing device generates a third image in which the noise of the second image is reduced by the reduction intensity. The image processing device detects a region of the hand from the third image, and generates a composited image by compositing a CG image and an image of the region of the hand with the third image, with reference to information of the region of the hand.