Andrea Vedaldi, Ph.D. (
Research Fellow, Oxford University, Visual Geometry Group - map

Tel. +44 1865 283057.

VLFeat wins the ACM Multimedia Open Source Software Competition
VLFeat presented at the ECCV10 Tutorial on Computer Vision and 3D Perception for Robotics
CVPR10 Tutorial on Open Source Vision Software.
New contributed Python interface to siftpp.
VLFeat 0.9.8 relased.

Research interests: Object and category classification and detection. Invarian visual features. Structured output learning.

VLFeat. The VLFeat open source library implements popular computer vision algorithms in a simple-to-use package with MATLAB bindings. It bundles algorithms such as SIFT, MSER, k-means, hierarchical k-means, kd-trees, agglomerative information bottleneck, quick shift.

Winner of the ACM Multimedia Open Source Software Competition (2010).

CVPR 2010 Poster


Efficient additive kernels: The homogeneous kernel map. We introduce closed-form finite dimensional feature maps approximating the additive kernels (intersection, Hellinger’s, χ2, Jensen-Shannon, ...). By adding onle line to your code you can use non-linear additive kernels as if they were linear, with vastly improved training and testing speed and compactness of the resulting models (code).