University of Bahrain
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3D Shape Reconstruction using Single Camera and Two Mirrors

Show simple item record Murmu, Narayan Nandi, Debashis 2023-01-29T07:58:41Z 2023-01-29T07:58:41Z 2023-01-29
dc.identifier.issn 2210-142X
dc.description.abstract This paper presents a novel approach to 3D shape reconstruction of objects using a single camera-based stereo vision system. The system is based on two convex mirrors attached and aligned properly in front of a low-cost camera. The camera captures the stereo images of a scene formed in the two mirrors, and the 3D shape of any object present in the scene is reconstructed. The 3D reconstruction is performed by extracting the target object from the stereo images and applying a proper 3D reconstruction model. In the present work, the 3D reconstruction of a target object has been performed by computing disparity map and using 3D point clouding technique. The depth of each point of the objects and the disparity is determined using featured-based algorithm. The depth image, which sometimes is called point clouds or grayscale image, has been used to generate the 3D shape and position of an object. This new system adds the advantages of using the principle of stereo vision for 3D reconstruction and reduces the shortcomings of using a pair of cameras in the conventional stereo vision systems. The performance of the system is verified by identifying different objects of different shapes and sizes and reconstructed 3D outputs from captured stereo images. en_US
dc.language.iso en en_US
dc.publisher University of Bahrain en_US
dc.subject 3D Reconstruction, Stereo vision, Convex mirrors, Stereo matching en_US
dc.title 3D Shape Reconstruction using Single Camera and Two Mirrors en_US
dc.type Article en_US
dc.volume 13 en_US
dc.issue 1 en_US
dc.pagestart 159 en_US
dc.pageend 167 en_US
dc.contributor.authoraffiliation Department of CSE, NIT, Durgapur, India en_US
dc.source.title International Journal of Computing and Digital Systems en_US
dc.abbreviatedsourcetitle IJCDS en_US

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