Computes locations and descriptors for space-time interest
points in video. The detector is based on the extension of Harris
operator to space-time as described in "On Space-Time Interest
Points", I.Laptev, IJCV 2005. The code does not implement scale
selection, instead interest points are detected at multiple spatial
and temporal scales. The implemented descriptors HOG (Histograms of
Oriented Gradients) and HOF (Histograms of Optical Flow) are computed
for 3D video patches in the neighbourhood of detected STIPs. This
detector and descriptors have been successfully used for action
recognition in the paper "Learning Realistic Human Actions from
Movies", Ivan Laptev, Marcin Marszalek, Cordelia Schmid and Benjamin
Rozenfeld; in Proc. CVPR'08.
SPAMS (SPArse Modeling Software) is an optimization toolbox composed of a set of binaries implementing algorithms to address various machine learning and signal processing problems involving a large number of small/medium size sparse decompositions.
Our multi-view stereopsis PMVS software was
developed in collaboration with Y. Furukawa at the University of
Illinois at Urbana-Champaign (Furukawa and
Ponce, 2007) and is publicly available for academics. Licensing
negociations with several companies are under
Resampling Penalization is a family of model selection procedure by
penalization that can use any exchangeable weighted bootstrap resampling scheme to compute a penalty. It is
properly defined in the general framework and extensively studied for histogram selection in regression (see journal paper
). This software is a Matlab package for performing Resampling Penalization for several examples of
weights in the histogram selection case.
The Resampling Penalization package is provided free for
non-commercial use under the terms of the GNU
General Public License.
A Matlab package to remove non-uniform blur due to camera shake from a single image, as described in (Whyte et al., 2010
Includes 15 scene categories, 3D object recognition stereo dataset, 3D photography dataset, visual hull datasets, birds, butterflies, object recognition dataset, texture dataset, and video sequences.