Depth Decoding Rectification for Misaligned Optical Components
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The alignment tolerance of components in depth decoding systems, such as cameras and projectors, causes distortions in captured images, leading to reduced performance in applications like manufacturing inspection and gaming.
Innovation Solution
A system and method that project a structural light pattern onto reference planes, capture ground-truth images from these planes, and perform rectification operations to generate a rectified image, which is then used to produce a depth result, utilizing a projector, camera, processor, and decoder to reduce distortions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If alignment tolerance of components is relaxed to simplify manufacturing and assembly, then ease of manufacture and device complexity are improved, but measurement precision and manufacturing precision deteriorate due to image distortions
Solution Approach 1:
The system performs preliminary rectification operations on the ground-truth image before depth decoding. The processor applies rectification algorithms to correct geometric distortions caused by component misalignment, thereby eliminating the need for extremely precise mechanical alignment during manufacturing and assembly while maintaining high measurement precision
Solution Approach 2:
The patent introduces a computational intermediary (rectification process) between the captured ground-truth image and the depth decoding process. This computational mediator corrects the distortions introduced by relaxed alignment tolerance, allowing the system to achieve high precision without requiring strict mechanical alignment
2Device complexity
If alignment tolerance of components is relaxed to reduce assembly complexity, then device complexity is reduced, but measurement precision deteriorates due to captured image distortions
Solution Approach 1:
The patent replaces the mechanical alignment system with a computational rectification system. Instead of relying on precise mechanical positioning of the projector and camera, the system uses image processing algorithms to correct geometric distortions, thereby reducing device complexity while maintaining measurement precision
Solution Approach 2:
The rectification process changes the geometric parameters of the ground-truth image to compensate for misalignment. By applying transformation parameters (such as rotation, scaling, and perspective correction), the system restores accurate spatial relationships without requiring precise physical alignment of components
Data Source
AI summary
A depth decoding system and a method for rectifying a ground-truth image are introduced. The depth decoder system includes a projector, a camera, a processor and a decoder. The projector is configured to project a structural light pattern to a first reference plane and a second reference plane. The camera is configured to capture a first ground-truth image from the first reference plane and capture a second ground-truth image from the second reference plane. The processor is configured to perform a rectification operation to the first ground-truth image and the second ground-truth image to generate a rectified ground-truth image. The decoder is configured to generate a depth result according to the rectified ground-truth image.