Image processing apparatus, display control apparatus, image processing method and recording medium
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Solution Overview
Problem
Existing commodity recognition systems face challenges in accurately identifying products in images due to environmental influences like lighting and angle, leading to high failure rates or false recognition, as they do not adequately account for these factors in setting recognition thresholds.
Innovation Solution
An image processing apparatus that includes recognition and detection means, utilizing store fixture information to re-recognize regions in images where products were initially missed, based on positional installation data, to improve detection precision and reduce false recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a higher recognition threshold is set to prevent false recognition, then false recognition rate decreases, but commodity recognition failure rate increases
Solution Approach 1:
The patent segments the image processing into multiple stages: initial commodity recognition, detection of unrecognized regions using store fixture information, and secondary recognition focused on those specific regions. This segmentation allows different recognition thresholds to be applied at different stages, resolving the contradiction between preventing false recognition and avoiding recognition failures.
Solution Approach 2:
The patent performs preliminary detection of regions where commodities are likely to be present but were not recognized by the initial recognition process. By using store fixture positional information to identify these regions before secondary recognition, the system can apply appropriate recognition strategies tailored to each region, thereby reducing both false recognition and recognition failure rates.
2Device complexity
If environmental factors like lighting and angle are not considered, then system complexity is reduced, but recognition accuracy deteriorates
Solution Approach 1:
The patent introduces store fixture information as an intermediary element that bridges the gap between simple image recognition and complex environmental analysis. By using pre-acquired positional information about store fixtures as a mediator, the system can accurately identify regions of interest without directly analyzing complex environmental factors like lighting and angle, thus maintaining low system complexity while improving recognition accuracy.
Data Source
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AI summary
The present invention provides a function capable of detecting, with a higher degree of precision, a region that has a high probability of not having been recognized. An image processing apparatus according to the present invention is provided with: a recognition means for recognizing a product from a captured image obtained by capturing an image of a displayed product; and a detection means for detecting a region of a product that is included in the captured image but is not recognized by the recognition means, on the basis of furniture information related to furniture in which the product is displayed.