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dc.contributor.authorBoora, Shivaprasad-
dc.contributor.authorSahu, Bharat Chandra-
dc.contributor.authorPatra, Dipti-
dc.identifier.citation8th International Conference on Computing, Communication and Networking Technologies (ICCCNT), IIT Delhi, India, 3 - 5 July, 2017en_US
dc.descriptionCopyright of this paper belongs to proceedings publisher.en_US
dc.description.abstractThis paper presents an efficient method to reconstruct 3D point cloud from an arbitrary number of views of an object of interest. Nowadays, Light Detection and Ranging (LIDAR) devices are used in autonomous vehicles and robots to get the 3D measurements. LIDAR contains laser scanners which directly gives the 3D information. However, these scanners are very expensive and prone to interferences and noise due to bulk hardware present in the device. To address this problem, mobile phone cameras are used in the proposed method as they are lighter and cheaper compared to scanners. Multiviews of an object of interest are obtained using a mobile phone camera and they are given as input to the structure from motion (SFM) algorithm. In this algorithm, an appropriate set of mixed feature extraction techniques are employed to get good number of 3D inlier points. The obtained results are visualised as 3D point clouds.en_US
dc.subject3D Image reconstructionen_US
dc.subjectStructure from motion(SFM)en_US
dc.subjectMixed feature extractionen_US
dc.title3D Image Reconstruction from Multiview Imagesen_US
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