Discrete Differential Geometry
Publications and Preprints
Yadav, S.K., Reitebuch, U., Polthier, K.
Robust and Stable Mesh De-Noising. (In preparation)In this paper, we introduce a de-noising algorithm that concerns mainly on the robustness against the high intensity of the noise and better mesh quality. Yadav, S.K., Reitebuch, U., Polthier, K.
3D Super-Resolution using Multiple Low Resolution Scans: A Regularization Approach. (In preparation)In this report, we are proposing a method that results in a true 3D super-resolution model rather than simple 2.5D model by merging low resolution scans of an object. Yadav, S.K., Polthier, K.
Retinal Shape Analysis:This is a collaboration project between Charite Medicine University and Free University of Berlin. This project mainly focuses on the shape analysis of the human retinal structure and mathematical modelling of the human retina. The main goal of this project to diagnose the different eye related disease like glaucoma, MS, IIH etcmorphometrically.
Mesh Denoising(March 2014 - August 2015)This project was funded by Dahlem Research School (DRS) Berlin. Denosing is one of the most active and fascinating research areas in geometry processing as the digital scanning devices becoming the widespread to capture the 3d points of the surface of 3D objects. In this projects, we developed de-noising algorithms that concern mainly on the robustness against the high intensity of the noise and better mesh quality and enhance the sharp features.
Super Resolution of the 3D Scans(June 2013 – February 2014)This project was funded by Einstein Foundation Program (EFP) Berlin. The resolution of an object surface can be increased by merging various low resolution scans measured by the laser scanner. In this project, we are proposing a method that results in a true 3D super-resolution model rather than simple 2.5D model by merging multiple low resolution scans of an object.