Fingertip detection method based on three-dimensional K curvature

Abstract

The invention discloses a fingertip detection method based on three-dimensional K curvature. The method comprises two steps; in the first step, a hand region is extracted based on point cloud color region growing, wherein first, point cloud data acquired by an RGB-D sensor is filtered, then color region growing partitioning is performed on the filtered point cloud data, and finally a skin color detection algorithm is adopted to acquire the point cloud data in the hand region; in the second step, fingertip points are extracted based on a three-dimensional K curvature algorithm, wherein hand point cloud is filtered to remove some spatial dispersion points after the hand region is acquired, then the thought of the K curvature algorithm is utilized to process the point cloud data, fingertip candidate points are determined and clustered, and the fingertip points are obtained. Through the method, the fingertip points can be well detected at different positions, and under different backgrounds and different light environments under a plurality of common gestures such as gestures of representing the numbers 1, 2, 3, 4 and 5. According to the method, the distance error between the obtained fingertip points and actual fingertip points is only about 5mm, and therefore good precision and robustness are achieved.

Description

technical field [0001] The invention relates to a fingertip detection method based on a three-dimensional K curvature algorithm, belonging to the technical field of machine vision. Background technique [0002] With the development of computer vision, vision-based fingertip detection methods have become a research hotspot in the field of human-computer interaction. In vision-based fingertip detection, predecessors have done a lot of research work. However, many previous algorithms only focus on extracting two-dimensional fingertips and cannot stably detect fingertip points when the fingers move. In the traditional fingertip detection process, the most common method is to perform skin color detection on color images, but this method is too affected by light intensity and skin-color background. With the launch of Kinect by Microsoft in 2010 and the popularity of other types of cameras with depth information, more and more researchers are using cameras with depth information t...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to address the shortcomings of the above-mentioned prior art, and propose a fingertip detection method based on three-dimensional K curvature, which mainly solves the problems in the prior art that are too dependent on the position of bone nodes and palm points.

Images