A binocular stereo vision image feature extraction method combining shape and color

Abstract

A binocular stereo vision image feature extraction method that combines shape and color, which belongs to the data processing fields such as multimedia information retrieval, intelligent information processing, and data mining, and overcomes the shortcomings of low accuracy and complexity of binocular stereo vision image feature extraction . The steps of the present invention: extract the depth map of the binocular stereo vision image through stereo matching; extract the contour shape feature of the binocular stereo vision depth image based on the selected size window, and perform dimensionality reduction; use the sliding window detection method to extract the complete depth image Perform feature extraction and dimensionality reduction; extract color features from the left image of binocular stereo vision to form histogram features; perform Gaussian normalization on contour shape features and color features to realize multi-feature fusion binocular stereo vision image features extract. The invention can acquire accurate and low-dimensional binocular stereoscopic image features, and is preferably applied to content-based related resource indexing and retrieval.

Description

technical field [0001] The invention relates to a binocular stereo vision image feature extraction method combining shape and color, which is suitable for binocular stereo vision image feature extraction, matching and retrieval, and belongs to the fields of computer image processing technology, multimedia information retrieval and the like. Background technique [0002] At present, the stereo vision industry and technology are developing rapidly. The common form of stereo vision is binocular stereo images or videos, which are associated left and right images or videos obtained through binocular stereo cameras or video cameras, usually using side-by-side Format representation. Under the network and new media environment, the analysis and acquisition of stereo vision resource content has become an important direction of demand, and it has also become one of the important fields of multimedia data application and research. The complexity of the stereo vision resource structure...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is: to overcome the shortcomings of realizing the feature extraction of binocular stereo vision images based on monocular two-dimensional images, as well as the shortcomings of low accuracy and high complexity of feature extraction, aiming at the principles and characteristics of binocular stereo vision images , introducing the depth map feature, invented a binocular stereo vision image feature extraction method combining shape and color

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