Object Detection Device Reliability and Texture Integration
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing techniques for detecting objects and constructing their three-dimensional shapes from multiple viewpoints lack precision and integration of reliability and texture information, leading to incomplete or inaccurate models.
Innovation Solution
A detection device comprising a detector, a reliability calculator, and an information calculator that calculates shape and texture information from a single viewpoint, with the ability to generate model information and integrate data from multiple viewpoints using a model integrator.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple imaging devices are used to detect objects from different viewpoints, then the completeness of three-dimensional shape information is improved, but the complexity of the detection system increases
Solution Approach 1:
The system divides the detection function into separate modules: a detector for capturing images, a reliability calculator for evaluating detection quality, and an information calculator for processing shape and texture data. This segmentation allows each component to be optimized independently while working together to achieve complete three-dimensional reconstruction from multiple viewpoints
Solution Approach 2:
The detection device is designed as a universal system that can process multiple types of information (shape, texture, reliability) from multiple imaging devices. The information calculator serves multiple functions by integrating data from different viewpoints and generating comprehensive model information, reducing the need for separate specialized devices
2Measurement precision
If reliability information is calculated and integrated with detection results, then the precision of shape determination is improved, but the processing time increases
Solution Approach 1:
The reliability calculator computes reliability information in advance based on detection results before the final shape determination is made. This preliminary calculation of reliability metrics allows the information calculator to efficiently integrate reliable data without performing complex calculations during the final processing stage, thus improving precision while managing processing time
Solution Approach 2:
The system changes the parameter of data weighting by incorporating reliability information as a weight factor. The information calculator uses reliability values to weight and prioritize different detection results when determining shape, allowing precise shape determination by emphasizing high-reliability data points without requiring exhaustive processing of all data
3Manufacturing precision
If texture information is calculated from detection results, then the accuracy of object modeling is improved, but the computational load increases
Solution Approach 1:
The system merges the calculation of shape information and texture information into a single integrated processing stage. The information calculator simultaneously computes both shape and texture data from detection results, leveraging the reliability information to optimize both calculations together. This merging approach improves modeling accuracy by ensuring consistency between shape and texture while reducing overall computational load compared to separate processing stages
Data Source
AI summary
A detection device including: a detector that detects an object from one viewpoint; a reliability calculator that calculates reliability information on the object at the one viewpoint by using a detection result of the detector; and an information calculator that calculates shape information on the object at the one viewpoint by using the detection result of the detector and the reliability information and calculates texture information on the object at the one viewpoint by using the detection result, the information calculator generates model information on the object at the one viewpoint based on the shape information and the texture information.