The research on binocular vision based real-time object indication recognition method

Chuncan Li; Zhijiang Zhang; Zhihua Dong

doi:10.1117/12.725440

29 January 2007 The research on binocular vision based real-time object indication recognition method

Chuncan Li, Zhijiang Zhang, Zhihua Dong

Proceedings Volume 6279, 27th International Congress on High-Speed Photography and Photonics; 62795M (2007) https://doi.org/10.1117/12.725440
Event: 27th International congress on High-Speed Photography and Photonics, 2006, Xi'an, China

Abstract

In order to achieve a non-contact interactive operation in particular conditions such as high-temperature, high-voltage conditions and space capsules, a real-time indicated object recognition method is proposed in this paper. It combines eye-finger moving information to estimate the object position. Multi-camera is used to get images containing fingertips and eyes, and binocular vision principle is utilized to estimate the 3D position of fingertips and eyes. According to physiological characteristic, when people indicate objects, the line linking the center of his two eyes and fingertip will pass the object point. So after capturing eyes and fingertips in video stream images with feature point extracting algorithm, a model from 2D image coordination to object scene coordination which can be expressed as a projective translation with multi-view restriction is presented. Using this model, 3D position of eyes and fingertips can be estimated from 2D positions in images, and the line linking the center of a person's two eyes and his fingertip is obtained. Intersecting this line and the plane which the object stand on it produces the object point which is the point indicated by the person's finger. This method estimates the absolute position of the object, which means it needn't users to provide any initial benchmark information. Finally, this method is tested by a practical indicated object recognition system with error analysis of camera calibration and image processing result.

Citation Download Citation

Chuncan Li, Zhijiang Zhang, and Zhihua Dong "The research on binocular vision based real-time object indication recognition method", Proc. SPIE 6279, 27th International Congress on High-Speed Photography and Photonics, 62795M (29 January 2007); https://doi.org/10.1117/12.725440

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KEYWORDS

Cameras

Calibration

Object recognition

3D modeling

Imaging systems

Skin

Eye models

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