no code implementations • CVPR 2023 • Chitturi Sidhartha, Lalit Manam, Venu Madhav Govindu
Geometric estimation problems in vision are often solved via minimization of statistical loss functions which account for the presence of outliers in the observations.
no code implementations • ICCV 2019 • Uttaran Bhattacharya, Venu Madhav Govindu
Our approach significantly outperforms the state-of-the-art robust 3D registration method based on a line process in terms of both speed and accuracy.
1 code implementation • CVPR 2020 • G. Dias Pais, Srikumar Ramalingam, Venu Madhav Govindu, Jacinto C. Nascimento, Rama Chellappa, Pedro Miraldo
Given a set of 3D point correspondences, we build a deep neural network to address the following two challenges: (i) classification of the point correspondences into inliers/outliers, and (ii) regression of the motion parameters that align the scans into a common reference frame.
no code implementations • 22 Nov 2017 • Sk. Mohammadul Haque, Venu Madhav Govindu
In this paper, we present a face fairness framework for 3D meshes that preserves the regular shape of faces and is applicable to a variety of 3D mesh restoration tasks.
no code implementations • ICCV 2017 • Sk. Mohammadul Haque, Venu Madhav Govindu
In this paper, we present a complete pipeline for such depth-normal fusion.
no code implementations • CVPR 2015 • Avishek Chatterjee, Venu Madhav Govindu
The method of this paper does not require the constant albedo assumption and we believe it is the first work of its kind to handle objects with arbitrary albedo under uncalibrated illumination.
no code implementations • 8 May 2015 • Avishek Chatterjee, Venu Madhav Govindu
Depth maps obtained from commercially available structured-light stereo based depth cameras, such as the Kinect, are easy to use but are affected by significant amounts of noise.
no code implementations • CVPR 2014 • Sk. Mohammadul Haque, Avishek Chatterjee, Venu Madhav Govindu
Firstly, instead of using an extra RGB camera, we use the infra-red (IR) camera of the depth camera system itself to directly obtain high resolution photometric information.