Infrared Spectrum Depth Acquisition for Gesture Recognition
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Solution Overview
Problem
Current gesture recognition methods for depth information acquisition, such as multi-camera vision, TOF, and structure light methods, face challenges including reduced accuracy with distance, low resolution, complex algorithms, high calculation complexity, and difficulty in miniaturization, making real-time depth information acquisition inefficient and costly.
Innovation Solution
A method and device using infrared spectrum projection and collection to generate and process infrared images, aligning them based on spectrum response characteristics to determine spatial three-dimensional coordinates of a target object, simplifying the algorithm and reducing calculation complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multi-camera vision method is used to acquire depth information, then three-dimensional vision measurement is achieved, but recognition accuracy becomes low when target has less texture or at large distances
Solution Approach 1:
The patent uses infrared spectrum projection to illuminate the target object, causing it to reflect infrared light that can be detected by infrared collectors. This transforms the detection from visible light (which requires texture) to infrared radiation (which provides consistent detection signals), thereby resolving the accuracy degradation issue for textureless targets and distant objects.
2Productivity
If structure light method is used to acquire depth information, then efficient measurement is achieved, but algorithm complexity and calculation amount become high
Solution Approach 1:
The patent extracts only the necessary functional components from the structure light method, using simple infrared spectrum projection and collection without complex coded pattern generation and decoding. This extraction approach maintains the efficiency of active illumination while eliminating the algorithmic complexity of pattern coding and decoding.
3Measurement precision
If depth camera based on conventional methods is designed, then depth information can be acquired, but device size becomes large and cost increases
Solution Approach 1:
The patent replaces complex mechanical optical systems with infrared spectrum projection and collection. By using infrared light sources and collectors instead of complex visible light optical systems, the device achieves depth measurement capability with simpler, more compact, and cost-effective components that are easier to miniaturize.
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
This approach enables high-resolution, real-time depth information acquisition with a simpler algorithm, facilitating miniaturization and cost reduction of depth cameras, improving recognition accuracy and usability.
Implementation Method 1
dispersing the infrared light on a basis of its wavelengths to convert the infrared light into the infrared spectrum
Implementation Method 2
collecting the infrared spectrum reflected by the target object at different positions
Data Source
AI summary
Embodiments of the present disclosure provide a method and a device for acquiring depth information, as well as a gesture recognition apparatus. The method includes: projecting an infrared spectrum to a target object; collecting the infrared spectrum reflected by the target object at different positions and generating a first infrared image and a second infrared image respectively; and processing the first infrared image and the second infrared image on a basis of infrared spectrum response characteristics to acquire the depth information of the target object.