NANJAPPA Ashwin

GHand: A GPU algorithm for realtime hand pose estimation using depth camera

Published date : 04 May 2015

We present GHand, a GPU algorithm for markerless hand pose estimation from a single depth image obtained from a commodity depth camera. Our method uses a dual random forest approach: the first forest estimates position and orientation of hand in 3D, while the second forest determines the joint angles of the kinematic chain of our hand model. GHand runs entirely on GPU, at a speed of 64 FPS with an average 3D joint position error of 20mm. It can detect complex poses with interlocked and occluded fingers and hidden fingertips.

type
Conference Paper/Poster
journal
EuroGraphics 2015, 4th - 8th May 2015, Kongresshaus Zurich, Switzerland

Estimate Hand Poses Efficiently from Single Depth Images

Published date : 19 Apr 2015

This paper aims to tackle the practically very challenging problem of efficient and accurate hand pose estimation from single depth images. A dedicated two-step regression forest pipeline is proposed: Given an input hand depth image, step one involves mainly estimation of 3D location and in-plane rotation of the hand using a pixel-wise regression forest. This is utilized in step two which delivers final hand estimation by a similar regression forest model based on the entire hand image patch. Moreover, our estimation is guided by internally executing a 3D hand kinematic chain model.

type
Journal Paper
journal
International Journal of Computer Vision (IJCV), Vol. 112, No. 3, May 2015, pp.1-25
Impact Factor
3.81

A GPU accelerated algorithm for 3D Delaunay triangulation

Published date : 14 Mar 2014

We propose the first algorithm to compute the 3D Delaunay triangulation (DT) on the GPU. Our algorithm uses massively parallel point insertion followed by bilateral flipping, a powerful local operation in computational geometry. Although a flipping algorithm is very amenable to parallel processing and has been employed to construct the 2D DT and the 3D convex hull on the GPU, to our knowledge there is no such successful attempt for constructing the 3D DT.

type
Conference Paper/Poster
journal
ACM/SIGGRAPH Symposium on Interactive 3D Graphics and Games, 2 14-16 March 2014, San Francisco, USA