The Research archive provides access to all Research articles published in past issues of Communications of the ACM.
We propose a new method to quickly and accurately predict human pose — the 3-D positions of body joints — from a single depth image, without depending on information from preceding frames.
How-things-work visualizations use a variety of visual techniques to depict the operation of complex mechanical assemblies. We present an automated approach for generating such visualizations.
Photographs capture the moment; paintings convey perception, impression, and feeling; illustrations tell stories. Computer graphics aims to enrich all these artistic practices through technology. The following paper is a watershed…
The following article by Shotton et al. describes a landmark computer vision system that takes a single depth image containing a person and automatically estimates the pose of the person's body in 3D.