Object detection in unconstrained images is an important image understanding problem with many potential applications. There has been little success in creating a single algorithm...
Methods for expanding the dynamic range of digital photographs by combining images taken at different exposures have recently received a lot of attention. Current techniques assum...
Chris Pal, Richard Szeliski, Matthew Uyttendaele, ...
Most existing sensor planning algorithms find it difficult to tackle the discrepancy between a PTZ camera's limited instant field of view (FOV) and panoramic achievable FOV. ...
Andreas Koschan, Besma R. Abidi, Chung-Hao Chen, D...
In a previous paper [1], we have presented a new linear classification algorithm, Principal Component Null Space Analysis (PCNSA) which is designed for problems like object recogn...
A fundamental problem when computing statistical shape models is the determination of correspondences between the instances of the associated data set. Often, homologies between po...
Heike Hufnagel, Xavier Pennec, Jan Ehrhardt, Heinz...