List of Projects
People Involved :Sai Sagar Jinka , Astitva Srivastava , Chandradeep Pokhariya , Avinash Sharma and P. J. Narayanan
3DHumans dataset provides around 180 meshes of people in diverse body shapes in various garments styles and sizes. We cover a wide variety of clothing styles, ranging from loose robed clothing, like saree (a typical South-Asian dress) to relatively tight fit clothing, like shirts and trousers. Along with the high quality geometry (mesh) and texture map, we also provide registered SMPL's parameters.
People Involved : Aryamaan Jain, Jyoti Sunkara, Ishaan Shah, Avinash Sharma and K S Rajan
Trees are an integral part of many outdoor scenes and are rendered in a wide variety of computer applications like computer games, movies, simulations, architectural models, AR and VR. This has led to increasing demand for realistic, intuitive, lightweight and easy to produce computer-generated trees. The current approaches at 3D tree generation using a library of trees lack variations in structure and are repetitive. This paper presents an extended grammar-based automated solution for 3D tree generation that can model a wide range of species, both Western and Indian. For the foliage, we adopt a particle system approach that models the leaf, its size, orientation and changes.
People Involved : Sai Sagar Jinka, Rohan Chacko, Avinash Sharma and P.J. Narayanan
We introduce PeeledHuman - a novel shape representation of the human body that is robust to self-occlusions. PeeledHuman encodes the human body
People Involved : Research Students of Dr. Avinash Sharma
We are interested in computer vision and machine learning with a focus on 3D scene understanding, reconstruction etc. In particular, we deal with problems where human body is reconstructed from 2D images and analysed in 3D, registration of point clouds of indoor scenes captured from commodity sensors as well as large outdoor scenes captured from LIDAR scanners.
People Involved :Sriniwas Govinda Surampudi, Joyneel Misra, Raju Bapi Surampudi and Avinash Sharma
Our research objective is to analyze neuroimaging data using graph-spectral techniques in understanding how the static brain anatomical structure gives rise to dynamic functions during rest. We approach the problem by viewing the human brain as a complex graph of cortical regions and the anatomical fibres which connect them. We employ a range of modelling techniques which utilize methods from spectral graph theory, time series analysis, information theory, graph deep learning etc.
People Involved : Avinash Sharma, Nishant Shobhit
We are solving the problem of 3D object recognition. Instead of recovering the 3D of object we are encoding the depth variation in object with deformation induced in pattern projected on object from certain pose. We proposed some effective features which can effectively characterize deformation of projected pattern for the purpose of recognition.