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Fingertip depth detection method and system

A depth detection and fingertip technology, applied in the field of computer vision, can solve the problems of inaccurate fingertip depth detection results and slow processing speed, and achieve the effects of narrowing the parallax search range, increasing processing speed, and improving accuracy

Active Publication Date: 2018-12-28
TSINGHUA UNIV
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Problems solved by technology

[0005] The technical problem to be solved by the present invention is: the existing fingertip depth detection results are inaccurate and the processing speed is slow

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  • Fingertip depth detection method and system
  • Fingertip depth detection method and system
  • Fingertip depth detection method and system

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Embodiment Construction

[0055] Embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0056] figure 1 is a schematic diagram of a fingertip depth detection method according to an embodiment of the present invention. Such as figure 1 As shown, the fingertip depth detection method includes:

[0057] S1: Obtain images collected by the left and right cameras of the infrared binocular camera system;

[0058] S2: Binarize the images collected by the left and right cameras respectively to obtain the first hand image and the second hand image;

[0059] S3: Perform distance transformation on the hand image, and obtain the positions of the fingertip points in the first hand image and the second hand image according to the result of the distance transformation;

[0060] S4: According to the angle of the polar coordinates of each fingertip in the first hand image relative to the center of the palm and the angle of the polar coordinates of each fi...

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Abstract

The invention relates to a fingertip depth detection method and system. The method comprises the following steps: acquiring images acquired by a left camera and a right camera of an infrared binocular camera system; performing binarization processing on the images acquired by the left camera and the right camera, and acquiring a first hand image and a second hand image; performing distance transformation on the hand images, and acquiring positions of fingertip points in the first hand image and the second hand image according to a result of the distance transformation; acquiring a matching combination between fingertip points in two hand images according to an angle of a polar coordinate of each fingertip relative to a palm in the first hand image and an angle of a polar coordinate of each fingertip relative to a palm in the second hand image; and performing disparity matching on the first hand image and the second hand image, and acquiring a depth value of the fingertip. The fingertip depth detection method and system provided by the invention improve the precision of fingertip depth detection, use a hand model and adopt rough matching to reduce a disparity search range, and improve the processing speed.

Description

technical field [0001] The invention relates to the field of computer vision, in particular to a fingertip depth detection method and system. Background technique [0002] Restoring depth information from images is a basic problem in the field of computer vision. In recent years, with the development of various technologies, it has received more and more attention and made great progress. Depth sensors have a wide range of applications in industrial inspection, autonomous driving, medical imaging, and new human-computer interaction based on 3D scene understanding and detection. Depending on whether controlled lighting is used, depth sensing systems can generally be classified into active depth estimation and passive depth estimation. [0003] Active depth estimation uses equipment such as a projector to project light of a pre-designed pattern into a 3D scene, such as a pre-coded structured light image or speckle image. By comparing the reconstructed speckle or structured l...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/70G06T7/80G06T7/30
CPCG06T2207/10012G06T2207/10028G06T2207/10048
Inventor 王贵锦李文涛尹玄武施陈博
Owner TSINGHUA UNIV
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