Infrared Projector Depth Accuracy via Texture Feature Generation
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Solution Overview
Problem
Existing electronic devices face challenges in accurately obtaining depth information of a target object due to various factors affecting the quantity of features in image information collected by binocular cameras.
Innovation Solution
The method involves an electronic device equipped with an infrared projector, a first camera, and a second camera, which emits infrared light with a light spot and collects image information from both cameras to calculate depth information based on the parallax, lens focal lengths, and the distance between the cameras.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If binocular camera is used to collect image information, then depth information can be obtained through parallax calculation, but the quantity of features in image information is affected by target object characteristics and light intensity, making it difficult to obtain accurate depth information
Solution Approach 1:
An infrared projector is introduced as an intermediary device to project infrared light patterns onto the target object. This mediator creates artificial texture features that are independent of the target object's inherent characteristics and ambient lighting conditions, ensuring consistent feature quantity for accurate depth measurement
Solution Approach 2:
The patent changes the lighting parameter by using infrared light instead of visible light. The infrared projector emits infrared light patterns that create high-contrast texture features on the target object, transforming the imaging conditions to ensure sufficient feature quantity regardless of the target object's surface properties or visible light intensity
2Quantity of substance
If infrared light with light spot is projected onto target object, then quantity of features and texture features in image information increases, but requires additional infrared projector hardware
Solution Approach 1:
The infrared projector serves multiple functions: it provides illumination in dark environments, creates texture features for depth measurement, and enhances edge detection. This multi-functionality justifies the additional hardware by eliminating the need for separate visible light sources and improving overall system performance
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 enhances the accuracy of depth information by increasing the quantity of features and texture features in the image information, allowing for more precise calculation of depths and improved three-dimensional representation of the target object.
Implementation Method 1
emits infrared light with a light spot by using the infrared projector
Implementation Method 2
collects first image information of the target object by using the first camera, and collects second image information of the target object by using the second camera
Implementation Method 3
calculate a parallax between the camera 1 and the camera 2 for the same feature; and then calculate a depth of the point of the feature based on the parallax and hardware parameters
Data Source
AI summary
Embodiments of this application provide a method for obtaining depth information and an electronic device, which is applied to the field of image processing technologies and can help an electronic device improve accuracy of obtaining depth information. The electronic device includes a first camera, a second camera, and an infrared projector. The electronic device receives a instruction to obtain depth information of a target object; transmits infrared light with a light spot by an infrared projector; collects first image information of the target object by using the first camera; collects second image information by using the second camera, where the first and second image information include a feature of the target object and a texture feature formed by infrared light; and calculates depth information of the target object based on the first and second image information, the first length, lens focal lengths of the first camera and the second camera.