3D Camera Device Using Single Image Sensor and Laser Source
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Solution Overview
Problem
Conventional 3D camera devices are complex, large, and expensive due to the use of multiple image sensors, and face recognition methods using these devices are time-consuming as they rely on matching 3D coordinates, which can be cumbersome and require extensive data storage.
Innovation Solution
A simplified 3D camera device with a single image sensor and a laser source, where the laser source controller emits laser beams one by one to generate depth images, allowing for efficient calculation of 3D coordinates, and a human face recognition method that compares 2D images with preset templates to reduce recognition time and data storage needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple image sensors are used to capture images from different viewing angles, then 3D coordinate information can be calculated, but the device becomes complicated, large, and expensive
Solution Approach 1:
The patent extracts the depth measurement function from the image sensor and assigns it to a separate time-of-flight sensor. This separation allows the image sensor to focus on capturing 2D visual information while the time-of-flight sensor专门 handles depth information acquisition, thereby reducing the complexity of the image sensor itself while maintaining 3D measurement capability
Solution Approach 2:
The patent introduces a time-of-flight sensor as an intermediary component to measure depth information. This mediator sensor works in conjunction with the image sensor to provide complete 3D coordinate information, avoiding the need for multiple image sensors and the associated complexity
2Reliability
If 3D coordinates are used for face recognition, then accurate identification can be achieved, but the recognition process takes a long time and requires extensive data storage
Solution Approach 1:
The patent performs preliminary processing of depth information to extract key facial feature points and their spatial relationships before the actual recognition process. By pre-processing and structuring the 3D data, the system reduces the computational burden during recognition, thereby decreasing recognition time while maintaining accuracy
Solution Approach 2:
The patent extracts essential facial feature information from complete 3D coordinates, focusing only on critical feature points and their relative positions. This extraction reduces the data volume requiring storage and processing while preserving the information necessary for accurate face recognition
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
The solution results in a compact, cost-effective 3D camera device with reduced recognition time and lower hardware requirements, improving user experience and reducing data storage needs while maintaining accurate face recognition.
Implementation Method 1
an image sensor configured for sensing visible light to generate a two-dimensional image signal of a target object and for sensing laser reflected by the target object to generate a depth image signal of the target object
Data Source
AI summary
A 3D camera device able to sense reflected visible light and reflected laser light to create a 3D image of a face or other object includes a laser source, one or more image sensors, and a data processing module. The data processing module obtains two-dimensional coordinates of the target object by processing two-dimensional image signal and obtains depth coordinates of the target object by processing depth image signal of the target object provided by the laser. A method applied to such device is also disclosed.