R
Ren
Researcher at University of California, Berkeley
Publications - 1
Citations - 1708
Ren is an academic researcher from University of California, Berkeley. The author has contributed to research in topics: Image segmentation & Linear classifier. The author has an hindex of 1, co-authored 1 publications receiving 1588 citations.
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Learning a classification model for segmentation
TL;DR: A two-class classification model for grouping is proposed that defines a variety of features derived from the classical Gestalt cues, including contour, texture, brightness and good continuation, and trains a linear classifier to combine these features.