Depth from defocus (DFD) is a 3D recovery method based on estimating the amount of defocus induced by finite lens apertures. Given two images with different camera settings, the ...
Scott McCloskey, Michael S. Langer, Kaleem Siddiqi
We present a framework for tracking rigid objects based on an adaptive Bayesian recognition technique that incorporates dependencies between object features. At each frame we fin...
We consider the problem of geometric integration and representation of multiple views of non-rigidly deforming 3D surface geometry captured at video rate. Instead of treating each...
We present an automatic software based approach for building extremely high resolution panoramic mosaics from images captured by an off-the-shelf pan tilt zoom camera. Using numer...
This paper introduces algorithms for determining the "relevance" of each frame (and objects within the frame) to the scenes present in a given video sequence. Specifical...