Diffuse Image Extraction Using Multi-Viewpoint Segmentation
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Solution Overview
Problem
Existing methods for obtaining diffuse images from input images using the dichromatic reflection model struggle to accurately separate diffuse components when different objects with the same hue are present, leading to confusion and inaccurate processing.
Innovation Solution
An image processing apparatus and method that captures multiple input images while changing the light source position or viewpoint, allowing for the extraction of diffuse images based on the same pixel areas across multiple images, thereby avoiding hue-based confusion and accurately estimating the diffuse component.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If pixels are extracted for each hue in a single input image to estimate the diffuse component, then the processing speed is improved, but the accuracy of diffuse image obtention deteriorates when different objects with the same hue exist
Solution Approach 1:
The patent segments the image processing by dividing it into multiple input images captured from different viewpoints or lighting conditions, rather than processing a single image. This allows the system to extract diffuse components by comparing corresponding pixel areas across multiple images, thereby distinguishing between different objects with the same hue and improving accuracy while maintaining processing efficiency.
2Measurement precision
If multiple input images are captured while changing light source position or viewpoint, then the accuracy of diffuse image separation is improved, but the complexity of the device increases
Solution Approach 1:
The patent employs a camera system that can function in multiple modes: capturing images under different lighting conditions, capturing images from different viewpoints, or capturing images at different times. This multi-functionality allows the system to achieve accurate diffuse image separation without requiring multiple specialized devices, thereby reducing overall system complexity while maintaining high accuracy.
3Ease of operation
If objects with different diffuse reflectance are processed using hue-based extraction, then the ease of operation is maintained, but the reliability of the results deteriorates
Solution Approach 1:
The patent introduces multiple input images captured under different conditions as an intermediary medium. By comparing corresponding pixel areas across these images, the system can reliably distinguish between different objects with the same hue, thereby maintaining ease of operation through automated processing while significantly improving the reliability of the diffuse image separation results.
Data Source
AI summary
An image processing apparatus (104) includes a first obtainer (104a) that obtains a plurality of input images (111) obtained by photographing an object a plurality of times while at least one of a light source position and a viewpoint is changed, and a second obtainer (104b) that obtains a plurality of diffuse images (115) based on the same pixel areas of object images in the plurality of input images (111).