Camera Positioning for Object Identification Accuracy
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for estimating the position and orientation of target objects, such as parts in a factory, face challenges in achieving high identification accuracy due to variations in viewpoints, as feature portions essential for identification may not be consistently captured, and existing techniques do not effectively determine the optimal camera position and orientation to enhance accuracy.
Innovation Solution
An information processing apparatus and method that acquire probability distributions of target object states and identification success rates for various positions and orientations of an image capturing device, determining the optimal position and orientation to enhance identification accuracy by adjusting the camera's position and orientation based on these distributions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If images of target objects are captured from all viewpoints to account for position and orientation variations, then the coverage of target object states is improved, but the identification accuracy of images obtained at certain viewpoints deteriorates because feature portions essential for identification cannot always be obtained
Solution Approach 1:
The patent pre-calculates identification accuracy for each viewpoint before actual object capture, and uses this pre-computed information to select the optimal viewpoint. This preliminary analysis allows the system to avoid viewpoints where feature portions cannot be properly captured, thereby maintaining high identification accuracy while still covering various target object states.
Solution Approach 2:
The patent changes the parameter of viewpoint selection from a fixed or random approach to a dynamically optimized selection based on pre-calculated identification accuracy. By adjusting which viewpoint is selected for capture based on the target object's predicted state and the pre-computed accuracy metrics, the system achieves both broad state coverage and high identification accuracy.
2Device complexity
If the position and orientation of the image capturing device are fixed, then the device complexity is reduced, but the identification accuracy deteriorates due to variability in target object positions and orientations
Solution Approach 1:
The patent pre-calculates the identification accuracy for multiple possible viewpoints and stores this information for later use. This preliminary computation allows the system to make intelligent viewpoint selection without requiring complex real-time adjustments of the camera, thus maintaining relatively simple device architecture while achieving high identification accuracy through software-based optimization.
Data Source
AI summary
A probability at which a target object takes a target object state is acquired for each of target object states that the target object is allowed to take, and a distribution of the probabilities is acquired. A success rate is acquired, for each relative target object state being determined in advance for a position and orientation of an image capturing device, at which the target object is successfully identified from a captured image obtained by capturing the target object having the relative target object state, and a distribution of the success rates is acquired. A position and orientation that the device is to take is determined based on the distribution of the success rates acquired for each of a plurality of positions and orientations that the image capturing apparatus is allowed to take, and the distribution of the probabilities.