Parallax Depth Correction Using Image Index Detection
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Solution Overview
Problem
Existing depth measurement techniques using stereo cameras are hindered by variations in camera parameters, leading to inaccuracies in calculated depth values due to changes in relative positions and orientations of the cameras, and require multiple recalculations to correct these parameters, which can disrupt the output of depth values.
Innovation Solution
An information processing apparatus that includes an image acquisition unit, index detection unit, correction unit, and determination unit to dynamically correct depth values or parallax based on detected indices in images captured from multiple directions, allowing for accurate depth calculations without repeated recalculations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If camera parameters are recalculated repeatedly to correct depth values, then measurement precision is improved, but productivity deteriorates due to continuous recalculation interruptions
Solution Approach 1:
The system performs preliminary calibration to establish the relationship between index detection results and camera parameter corrections in advance. This pre-established correction mechanism allows the system to apply corrections without repeated recalculation interruptions, thus maintaining both high measurement precision and continuous productivity.
Solution Approach 2:
The index detection result serves as an intermediary that bridges the gap between image capture and depth calculation. By detecting the index and using its characteristics to determine camera parameter corrections, the system avoids direct repeated recalculation of depth values, thereby maintaining measurement precision while ensuring continuous output.
2Measurement precision
If stereo camera system is used for depth measurement, then measurement capability is improved, but device complexity increases due to multiple cameras and calibration requirements
Solution Approach 1:
The index acts as an intermediary object that simplifies the calibration process. Instead of complex direct calibration between multiple cameras, the system uses the detectable index as a reference to automatically determine camera parameter corrections, thereby reducing device complexity while maintaining depth measurement capability.
Solution Approach 2:
The system performs self-calibration by automatically detecting the index and determining camera parameter corrections without requiring external intervention or complex manual calibration procedures. This self-service mechanism reduces operational complexity while preserving measurement precision.
3Measurement precision
If calibration is performed to correct camera parameter variations, then measurement precision is improved, but ease of operation deteriorates due to additional calibration steps
Solution Approach 1:
The calibration process is automated through self-service operation. The system automatically detects the index in captured images and determines the appropriate camera parameter corrections without requiring user intervention or manual calibration steps, thereby maintaining measurement precision while improving ease of operation.
Solution Approach 2:
The system dynamically changes camera parameters based on index detection results. By automatically adjusting parameters according to the detected index characteristics, the system eliminates the need for manual calibration steps while maintaining accurate depth measurements, thus improving operational simplicity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate and continuous depth value calculation even in stationary conditions, simplifies configuration, reduces maintenance costs, and eliminates the need for pre-prepared indices, ensuring high reproducibility and efficient depth measurement.
Implementation Method 1
an image capturing unit that captures images from a plurality of directions
Data Source
AI summary
An information processing apparatus includes a processor and a memory coupled to the processor and storing instructions that, when executed by the processor, cause the processor to function as an image acquisition unit, an index detection unit, a correction unit, and a determination unit. The image acquisition unit is configured to acquire images captured by an image capturing unit configured to perform image capturing from a plurality of directions. The index detection unit configured to detect information about an index appearing on the acquired images. The correction unit is configured to determine a correction to: (1) correct a depth value calculated from parallax in the acquired images, or (2) correct the parallax, based on the detected information. The determination unit is configured to determine whether to execute the correction based on a state of the index appearing on one of the acquired images.