In this paper, we propose a novel method to reduce the magnitude of 4D CT artifacts by stitching two images with a data-driven regularization constrain, which helps preserve the l...
Dongfeng Han, John Bayouth, Qi Song, sudershan Bha...
This paper presents a robust technique for temporally aligning multiple video sequences that have no spatial overlap between their fields of view. It is assumed that (i) a moving...
For stationary or quasi-stationary frames of a video sequence, traditional block matching algorithms (BMA) will easily lead the search to be trapped into a local minimum. In this ...
Motion-based face recognition is a young research topic, inspired mainly by psychological studies on motionbased perception of human faces. Unlike its close relative, appearance-b...
Capturing multiple photos at different focus settings is a powerful approach for reducing optical blur, but how many photos should we capture within a fixed time budget? We develop...
Samuel W. Hasinoff, Kiriakos N. Kutulakos, Frédo ...