Unsupervised learning requires a grouping step that defines which data belong together. A natural way of grouping in images is the segmentation of objects or parts of objects. Whi...
D Images at Multiple Abstraction Levels Rodrigo Moreno∗, Miguel Angel Garcia∗∗ and Domenec Puig∗ (∗)Intelligent Robotics and Computer Vision Group, Rovira i Virgili Unive...
We propose a video region segmentation scheme combining spatio-temporal edges and watershed techniques. We consider the video sequence as a 3-D volume and compute color edges with...
The segmentation of time-series is a constrained clustering problem: the data points should be grouped by their similarity, but with the constraint that all points in a cluster mus...
Abstract: We address the recovery of segmented, 3-0 descriptions of an object from intensity images. We use three views of an objectfrom slightly different viewpointsas our input. ...