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Open Access Segment-Based Real Time Stereo Vision Matching Using Characteristic Vectors

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Stereo vision is the normal method to obtain the depth information from images. The problems encountered when applying well established algorithms to real time applications are due to the high computational load required. In this article, the authors address this issue by performing a region-based analysis which considers each pixel only once. Additionally, matching is carried out over statistical descriptors of the image regions. In this article, the authors present a new algorithm that has been specifically designed to solve some commonly observed problems which arise from other well known techniques. This algorithm was designed using a previous algorithm implemented by the authors. The complete analysis has been carried out over gray scale images. The results obtained from both real and synthetic images are presented in terms of matching quality and time consumption and are compared with other published results. Finally, a discussion of additional features related to the matching process is provided.

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Document Type: Research Article

Affiliations: 1: Carlos III University of Madrid, Spanish Center for Captioning and Audiodescription, Av. Peces Barba, 1. 28918 Leganés, Madrid, Spain. [email protected] 2: Carlos III University of Madrid, Spanish Center for Captioning and Audiodescription, Av. Peces Barba, 1. 28918 Leganés, Madrid, Spain 3: Signal Processing Laboratory (LTS5), École Polytechnique Fédéral de Lausanne. (EPFL), Station 11, CH1015 Lausanne, Switzerland

Publication date: September 1, 2011

More about this publication?
  • The Journal of Imaging Science and Technology (JIST) is dedicated to the advancement of imaging science knowledge, the practical applications of such knowledge, and how imaging science relates to other fields of study. The pages of this journal are open to reports of new theoretical or experimental results, and to comprehensive reviews. Only original manuscripts that have not been previously published, nor currently submitted for publication elsewhere, should be submitted.

    IS&T's JIST-first publication option allows authors wishing to present their work at conferences, but have a journal citation for their paper, to submit a paper to JIST that follows the same rigorous peer-review vetting and publication process as traditional JIST articles, but with the benefit of a condensed time-to-publication time frame and guaranteed conference presentation slot.

    Please note: For purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual paper for details.

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