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Vision System for Image Recognition Based on Three-Dimensional Vector Patterns

Gridin V. N., Titov M. I., Truphanov M. I., Korostelev S. I.

Machine Graphics and Vision

2009

Vol. 18, No. 2

175-186

We introduce a vision system for object image recognition based on a three-dimensional vector pattern, which offers a possibility to solve a broad variety of problems connected with image recognition. We point out that the use of three-dimensional vector models as patterns enables substantial reduction in the memory costs and simplification of the learning process. In the paper we provide a description of the image recognition method implemented by the vision system, and propose the ways for its development.

The calibration method for stereoscopic vision system

Titov V. S., Degtyarev S. V., Truphanov M. I.

Machine Graphics and Vision

2008

Vol. 17, No. 4

373-387

Stereoscopic vision systems are used not only in visual design computing but also in many other applications. In stereoscopic vision, an important property is the accuracy of three-dimensional reconstruction. This property depends considerably on the quality of the vision system calibration. The known solutions to the calibration problem are based on determining calibration parameters from an image of a special pattern. Our method allows calibration of the stereoscopic vision without such a special pattern. The calibration includes the following basic stages: selection of an object used in the calibration (one a priori unknown object instead of a special model object) which is chosen from a set of objects existing in a working scene, calibration of the angles between two cameras which are part of the stereoscopic vision system, and calibration of the distances between two cameras. The calibration parameters are calculated with the aid of images of calibration objects. This approach allows us to perform an adaptive calibration of the vision system (automatic calibration is performed from time to time when necessary) because this process does not require placing of the special calibration object in the working scene, it does not interrupt execution of main function of the vision system and increases the calibration accuracy since possible errors which may be introduced during the placement of the calibration object do not affect the result of the calibration.