New understanding of single-lens stereovision using a biprism

Kah Bin Lim D.V.M.; Yong Xiao; Lye Choon Ng

doi:10.1117/12.524703

16 April 2004 New understanding of single-lens stereovision using a biprism

Kah Bin Lim D.V.M., Yong Xiao, Lye Choon Ng

Proceedings Volume 5302, Three-Dimensional Image Capture and Applications VI; (2004) https://doi.org/10.1117/12.524703
Event: Electronic Imaging 2004, 2004, San Jose, California, United States

Abstract

Normal stereovision system requires two or more cameras to capture different views of the same scene. One category of technique called single-lens stereovision attracted many researchers interest because of its significant advantages over the normal stereovision setup including compactness, low cost, less system parameters and ease of calibration, etc. In this paper we present some new understanding of a single-lens stereovision system using a biprism (2F filter). Image captured by the real camera with a biprism placed before its lens, is divided into two equal halves. Each half-image is assumed to be captured by one virtual camera. Two related but different approaches of understanding and modeling such a system are introduced: one is based on camera calibration technique and another is based on geometrical analysis. The latter approach provides an interesting way of understanding this system. It does not require complex calibration, and one field point test is sufficient to determine the system once the system is built and pin-hole camera model is used. Thus, great effort on setup and calibration will be saved compared to normal binocular stereovision system. The approach based on geometrical analysis provides a relatively simpler and sufficiently accurate way of building a close range stereovision system.

Citation Download Citation

Kah Bin Lim D.V.M., Yong Xiao, and Lye Choon Ng "New understanding of single-lens stereovision using a biprism", Proc. SPIE 5302, Three-Dimensional Image Capture and Applications VI, (16 April 2004); https://doi.org/10.1117/12.524703

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