This paper presents a new method named text to visual synthesis with appearance models (TEVISAM) for generating videorealistic talking heads. In a first step, the system learns a ...
This paper presents a system which learns from examples to automatically recognize people and estimate their poses in image sequences with the potential application to daily surve...
The success of forensic identification largely depends on the availability of strong evidence or traces that substantiate the prosecution hypothesis that a certain person is guil...
Vasant Manohar, Dmitry B. Goldgof, Sudeep Sarkar, ...
We present an algorithm to estimate the 3D pose (location
and orientation) of a previously unseen face from low-quality range images. The algorithm generates many pose candidates ...
A pixel-pattern-based texture feature (PPBTF) is proposed for real-time gender recognition. A gray-scale image is transformed into a pattern map where edges and lines are to be use...
Huchuan Lu, Yingjie Huang, Yen-Wei Chen, Deli Yang