Imaging Apparatus State Change Detection for Virtual Viewpoint Accuracy
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Solution Overview
Problem
Existing techniques for generating virtual viewpoint images from multiple imaging devices fail to accurately detect changes in the state of imaging apparatuses, leading to decreased accuracy in estimated three-dimensional shapes due to unaccounted changes in the imaging apparatuses' positions, orientations, or internal parameters.
Innovation Solution
An information processing apparatus that acquires images and three-dimensional shape data, detects deviations in imaging apparatus states by comparing projection images with silhouette images, and outputs information on detected changes, allowing for real-time adjustment and maintaining image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the state of imaging apparatus is previously acquired for three-dimensional shape estimation, then the estimation process can be performed efficiently, but the accuracy of estimated shape decreases when the imaging apparatus state changes
Solution Approach 1:
The system performs preliminary acquisition of imaging apparatus states before image capturing, stores them, and uses them for initial three-dimensional shape estimation. This allows efficient processing while the detection unit subsequently checks for state changes that would compromise accuracy
Solution Approach 2:
The detection unit compares previously acquired imaging apparatus states with current states obtained at the time of image capturing. When changes are detected, the system provides feedback to re-acquire the state data, ensuring accuracy without permanently sacrificing efficiency
2Loss of time
If the state of imaging apparatus is not re-acquired after initial acquisition, then processing time is reduced, but image quality degradation occurs due to undetected state changes
Solution Approach 1:
The detection unit continuously monitors imaging apparatus states by comparing previously acquired states with current states. This feedback mechanism detects changes such as position shifts, orientation changes, or focal length variations, triggering state re-acquisition only when necessary to maintain image quality
Solution Approach 2:
The system automatically detects state changes and manages state re-acquisition without requiring manual intervention. The detection unit autonomously compares states and identifies when recalibration is needed, reducing processing time while maintaining reliability
Data Source
AI summary
An information processing apparatus acquires a plurality of images that is based on image capturing performed by a plurality of imaging apparatuses, acquires three-dimensional shape data of an object which is generated based on the plurality of images and states of the plurality of imaging apparatuses obtained at a time point earlier than a time point of the image capturing, detects that a state of any one of the plurality of imaging apparatuses obtained at a time point of the image capturing is different from a state thereof obtained at a time point earlier than a time point of the image capturing, based on the acquired plurality of images and the acquired three-dimensional shape data, and outputs information that is based on a result of the detection.