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30 January 2012 A parallel stereo reconstruction algorithm with applications in entomology (APSRA)
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Proceedings Volume 8290, Three-Dimensional Image Processing (3DIP) and Applications II; 82901G (2012) https://doi.org/10.1117/12.905545
Event: IS&T/SPIE Electronic Imaging, 2012, Burlingame, California, United States
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.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rajesh Bhasin, Won Jun Jang, and John C. Hart "A parallel stereo reconstruction algorithm with applications in entomology (APSRA)", Proc. SPIE 8290, Three-Dimensional Image Processing (3DIP) and Applications II, 82901G (30 January 2012); https://doi.org/10.1117/12.905545
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