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We investigate the problem of estimating the 3D shape of an object defined by a set of 3D landmarks, given their 2D correspondences in a single image.
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X. Zhou, S. Leonardos, X. Hu, and K. Daniilidis, “3D shape estimation from 2D landmarks: A convex relaxation approach,” IEEE International Conference on Computer Vision and Pattern Recognition , 2015
2015
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I. Akhter and M. J. Black, “Pose-conditioned joint angle limits for 3D human pose reconstruction,” in IEEE Conference on Computer Vision and Pattern Recognition , 2015
2015
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J. Carreira, A. Kar, S. Tulsiani, and J. Malik, “Virtual view networks for object reconstruction,” in IEEE Conference on Computer Vision and Pattern Recognition , 2015
2015
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A. Kar, S. Tulsiani, C. João, and J. Malik, “Category-specific object reconstruction from a single image,” in IEEE Conference on Computer Vision and Pattern Recognition , 2015
2015
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Q. Huang, H. Wang, and V. Koltun, “Single-view reconstruction via joint analysis of image and shape collections,” ACM Transactions on Graphics , vol. 34, no. 4, p. 87, 2015
2015
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S. Leonardos, X. Zhou, and K. Daniilidis, “Articulated motion estimation from a monocular image sequence using spherical tangent bundles,” in IEEE International Conference on Robotics and Automation , 2016
2016
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