Intrinsic Image Generation via Object Database Segmentation
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Solution Overview
Problem
Current computer vision applications face challenges in accurately separating illumination and material aspects of images, which affects the accuracy and effectiveness of image processing and analysis.
Innovation Solution
A method and system that generate intrinsic images by using spatio-spectral operators and constraints to segregate illumination and material components from an image, utilizing a computer system with an object database and CPU to process images and identify Type C tokens, Type B tokens, and other spectral relationships to achieve accurate material and illumination separation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional image processing methods are used, then the processing can be performed with simpler algorithms, but the accuracy and effectiveness of separating illumination and material aspects deteriorates
Solution Approach 1:
The patent segments the image processing task into distinct components: identifying objects, retrieving material reflectance properties from a database, and generating intrinsic images. This segmentation allows each component to be optimized independently, achieving high accuracy separation while managing system complexity through modular architecture.
Solution Approach 2:
The patent introduces an intermediary object database that stores material reflectance color values. This database acts as a mediator between the image processing system and the intrinsic image generation, providing pre-computed material properties that enable accurate separation without requiring complex real-time material analysis algorithms.
2Measurement precision
If more detailed material reflectance information is used, then the intrinsic image generation accuracy improves, but the processing time and computational resources increase
Solution Approach 1:
The patent performs preliminary action by pre-computing and storing material reflectance color values in the object database before image processing. This allows the actual image processing to quickly retrieve and apply pre-computed material properties, significantly reducing processing time while maintaining high accuracy in intrinsic image generation.
Data Source
AI summary
In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, providing an object database including a list of objects that appear in the image, and information on material reflectance color values for each object and generating intrinsic images corresponding to the image as a function of the information on material reflectance color values for each object.