Camera localization for a human-pose in 3D space using a single 2D human-pose image with landmarks: a multimedia social network emerging demand |
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Authors: | Al-Hami Mo’taz Lakaemper Rolf Rawashdeh Majdi Hossain M Shamim |
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Affiliation: | 1.Department of Computer Information System, The Hashemite University, Zarqa, 13115, Jordan ;2.Department of Computer & Information Sciences, Temple University, Philadelphia, PA, 19122, USA ;3.Department of Business Information Technology, Princess Sumaya University for Technology, Amman, 11941, Jordan ;4.Research Chair of Pervasive and Mobile Computing, College of Computer and Information Sciences, King Saud University, Riyadh, 11543, Saudi Arabia ;5.Department of Software Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia ; |
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Abstract: | Recovering a 3D human-pose in the form of an abstracted skeleton from a 2D image suffers from loss of depth information. Assuming the projected human-pose is represented by a set of 2D landmarks capturing the human-pose limbs, recovering back the original 3D locations is an ill posed problem. To recover a 3D configuration, camera localization in 3D space plays a major role, an inaccurate camera localization might mislead the recovery process. In this paper, we propose a 3D camera localization model using only human-pose appearance in a 2D image (i.e., the set of 2D landmarks). We apply a supervised multi-class logistic regression to assign the camera location in 3D space. In the learning process, we assume a set of predefined labeled camera locations. The features we train consist of relative length of limbs and 2D shape context. The goal is to build a relation between these projected landmarks and the camera location in 3D space. This kind of analysis allows us to reconstruct 3D human-poses based on the 2D projection only without any predefined camera parameters. Also, makes real-time multimedia exchange more reliable specially for human-pose related tasks. We test our model on a set of real images showing a variety of camera locations. |
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