A common problem when using automated structure from motion techniques is that the object to be modelled can only be partially reconstructed from the video. This can occur because...
Anton van den Hengel, Anthony R. Dick, Thorsten Th...
Digital evidence is not well perceived by the human senses. Crucial pieces of digital evidence may simply be missed by investigators as the forensic significance of seemingly unim...
This paper presents an algorithm for inferring a Structured Hidden Markov Model (S-HMM) from a set of sequences. The S-HMMs are a sub-class of the Hierarchical Hidden Markov Model...
It is now well established that sparse signal models are well suited for restoration tasks and can be effectively learned from audio, image, and video data. Recent research has be...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
The mean shift (MS) algorithm is sensitive to local peaks. In this paper, we show both empirically and analytically that when using sample data, the reconstructed PDF may have fals...