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Proceedings Paper

A parallel stereo reconstruction algorithm with applications in entomology (APSRA)
Author(s): Rajesh Bhasin; Won Jun Jang; John C. Hart
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Paper Abstract

We propose a fast parallel algorithm for the reconstruction of 3-Dimensional point clouds of insects from binocular stereo image pairs using a hierarchical approach for disparity estimation. Entomologists study various features of insects to classify them, build their distribution maps, and discover genetic links between specimens among various other essential tasks. This information is important to the pesticide and the pharmaceutical industries among others. When considering the large collections of insects entomologists analyze, it becomes difficult to physically handle the entire collection and share the data with researchers across the world. With the method presented in our work, Entomologists can create an image database for their collections and use the 3D models for studying the shape and structure of the insects thus making it easier to maintain and share. Initial feedback shows that the reconstructed 3D models preserve the shape and size of the specimen. We further optimize our results to incorporate multiview stereo which produces better overall structure of the insects. Our main contribution is applying stereoscopic vision techniques to entomology to solve the problems faced by entomologists.

Paper Details

Date Published: 30 January 2012
PDF: 7 pages
Proc. SPIE 8290, Three-Dimensional Image Processing (3DIP) and Applications II, 82901G (30 January 2012); doi: 10.1117/12.905545
Show Author Affiliations
Rajesh Bhasin, Univ. of Illinois at Urbana-Champaign (United States)
Won Jun Jang, Univ. of Illinois at Urbana-Champaign (United States)
John C. Hart, Univ. of Illinois at Urbana-Champaign (United States)


Published in SPIE Proceedings Vol. 8290:
Three-Dimensional Image Processing (3DIP) and Applications II
Atilla M. Baskurt; Robert Sitnik, Editor(s)

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