Mirror Surface Region Identification Using Operation Amount Correlation
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Solution Overview
Problem
Conventional techniques for detecting mirror surface regions in object detection using vision sensors are prone to errors when other patterns with similar motion are present, leading to incorrect identification of mirror surface regions.
Innovation Solution
An information processing system that includes an operation amount data acquisition unit, an image data acquisition unit, a difference expression extraction unit, and a mirror surface region identification unit, which uses a correlation between difference expressions and operation amount data to accurately identify mirror surface regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a predetermined pattern moving in a certain direction is captured by a video and a region where the same pattern moves in a different direction is extracted and identified as a mirror surface region, then mirror surface regions can be detected, but when another pattern showing similar motion exists in the imaging region, the detection region of the pattern is erroneously recognized as the mirror surface region
Solution Approach 1:
The patent changes the detection parameters from simple motion direction to a comprehensive correlation analysis between difference expressions (derived from image data) and operation amount data. This parameter transformation allows the system to distinguish mirror surface regions from other moving patterns by analyzing the specific correlation characteristics that are unique to mirror reflections, thereby resolving the contradiction between detection accuracy and reliability in complex environments
Solution Approach 2:
The patent introduces operation amount data as an intermediary element that bridges the gap between image data and mirror surface identification. By incorporating operation amount data (which represents the actual movement of the imaging device) into the correlation analysis, the system gains an additional dimension for distinguishing true mirror surface regions from false positives, thus improving both accuracy and reliability
Data Source
AI summary
An information processing system (1) includes an operation amount data acquisition unit (109), an image data acquisition unit (101), a difference expression extraction unit (108), and a mirror surface region identification unit (111). The operation amount data acquisition unit (109) acquires operation amount data of an object. The image data acquisition unit (101) acquires image data captured by an imaging device mounted on the object. The difference expression extraction unit (108) extracts a difference expression representing feature information about a difference between two images based on two pieces of image data captured before and after the operation of the object. The mirror surface region identification unit (111) identifies a mirror surface region based on a correlation between the difference expression and the operation amount data.