Object Detection via Image Symmetry Evaluation
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Solution Overview
Problem
Existing image detection techniques require pre-determination of the object of interest and collection of images for database registration, making it difficult to detect objects that users may be interested in, especially when only partial information is available for search queries.
Innovation Solution
An object detection method using an image analysis device that evaluates the symmetry of partial areas within an image by extracting features and applying reflection transformations, determining if the symmetry exceeds a predetermined threshold to identify the object of interest.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If pre-determination of object of interest and collection of images for database registration is performed, then detection accuracy is improved, but flexibility and adaptability to new objects deteriorate
Solution Approach 1:
The system performs self-learning by automatically acquiring images of newly interested objects, extracting features, and regenerating dictionary patterns without requiring manual database preparation. This enables the system to adapt to new objects autonomously, resolving the contradiction between detection accuracy and adaptability.
Solution Approach 2:
The system performs preliminary feature extraction and dictionary pattern generation for newly interested objects before actual detection begins. This preliminary preparation enables accurate detection of new objects without requiring pre-existing databases, addressing both accuracy and adaptability requirements.
2Ease of operation
If only partial information is available for search queries, then ease of operation is improved, but detection precision deteriorates
Solution Approach 1:
The system introduces an object determination unit as an intermediary that infers complete object information from partial search queries. This intermediary component bridges the gap between user-friendly partial queries and the detection system's need for complete object descriptions, maintaining both ease of operation and detection precision.
3Adaptability or versatility
If dictionary patterns are regenerated for newly interested objects, then adaptability is improved, but loss of time in database preparation increases
Solution Approach 1:
The system replaces manual database preparation mechanisms with automated feature extraction and dictionary pattern generation. By substituting mechanical/manual processes with automated computational processes, the system reduces time investment while maintaining adaptability to new objects.
4Measurement precision
If feature extraction and symmetry evaluation are performed, then detection precision is improved, but device complexity and processing time increase
Solution Approach 1:
The system utilizes symmetry evaluation as a discriminative feature - objects with high symmetry scores are identified as potential matches. This approach simplifies the detection process by focusing computational resources on evaluating symmetry properties rather than analyzing all possible features, thereby reducing overall complexity while maintaining precision.
Data Source
AI summary
It is provided an object detection method to be performed by an image analysis device configured with a computer including a processor and a memory, the object detection method comprising: a first step of receiving, by the processor, input of an image and storing the image to the memory; a second step of extracting, by the processor, a partial area which is a part of the input image and storing the partial area to the memory; a third step of evaluating, by the processor, symmetry of the partial area using features extracted from the partial area and reflected features obtained by applying reflection to the features; and a fourth step of determining, by the processor, that the partial area is an object area including an object to be detected in a case where the symmetry of the partial area is evaluated as higher than a predetermined threshold.