Three-dimensional object identification method and system

Abstract

The invention relates to a three-dimensional object identification method and a three-dimensional object identification system. The method comprises the following steps of: simultaneously acquiring two paths of pixel data of an object by using two cameras which are arranged in parallel, and storing the pixel data; calculating the parallax of pixels of each point on the object in the two paths of pixel data according to the two paths of pixel data respectively, and obtaining the depth information of each point according to a distance between the two cameras, focal lengths of the cameras and the parallaxes; for a point of which the parallax cannot be determined, determining the contour information of the point by using edge detection, and updating the depth information of the point according to the contour information; performing curved surface clustering on each pixel according to the depth information of each pixel and the pixel data; performing division and topology analysis on the curved surface clustered pixels; performing characteristic description on the object according to a topology analysis result, and storing characteristic descriptions; and comparing the characteristic descriptions of the object with characteristic data in a database to obtain an identification result. By the method and the system, any object can be accurately identified.

Description

technical field [0001] The invention relates to a three-dimensional object recognition method and system. Background technique [0002] For many years, people have been looking for an intelligent recognition system similar to human eyes and brain processes, so that machines can communicate with humans or other machines in the most natural and friendly way. For this reason, in the communication between machines and humans A technology specially used for face recognition has been produced. This face recognition technology is divided into two directions: active technology and passive technology: active technology is similar to animals such as cobras and bats in nature. This technology is actively launched through the system. Infrared light that is invisible to the human eye, reflected by the face or other objects, enters a CMOS camera blocked by an infrared filter for imaging, and then calculates the imaged image. Active technology is not affected by ambient light It has a wid...

AI Technical Summary

Problems solved by technology

[0002] For many years, people have been looking for an intelligent recognition system similar to human eyes and brain processes, so that machines can communicate with humans or other machines in the most natural and friendly way. For this reason, in the communication between machines and humans A technology specially used for face recognition has been produced. This face recognition technology is divided into two directions: active technology and passive technology: active technology is similar to animals such as cobras and bats in nature. This technology is actively launched through the system. Infrared light that is invisible to the human eye, reflected by the face or other objects, enters a CMOS camera blocked by an infrared filter for imaging, and then calculates the imaged image. Active technology is not affected by ambient light It has a wide range of application prospects, but it also has disadvantages such as not being friendly to people and being affected by the infrared light emission distance; passive technology simulates the binocular recognition method that most animals in nature have, and two pairs of eyes can Form a three-dimensional image, and the animal's brain recognizes objects and scenes by performing complex calculations on this three-dimensional image

[0003] The above-mentioned face recognition methods, whether active or passive, generally can only recognize faces, but are powerless in the recognition of other objects, which will greatly limit the development of this recognition technology. With the increasing computing power of computers and chips It is getting stronger and stronger, and people are eager to have a recognition method that is most similar to animals. It can not only recognize faces but also automatically recognize other objects, such as recognizing obstacles, recognizing special signs, etc., so that the This recognition method is used in many applications such as automatic driving, automatic shaping of 3D objects, and 3D animation.

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