We propose a method for object detection in cluttered real images, given a single hand-drawn example as model. The image edges are partitioned into contour segments and organized i...
Vittorio Ferrari, Tinne Tuytelaars, Luc J. Van Goo...
A method is proposed to detect multi-part man-made or natural objects in complex images. It consists in first extracting simple curves and straight lines from the edge map. Then, ...
Object detection in clutter or occlusion is a hard problem in computer vision. We propose an object detection method based on contour grouping. Two stages are included: a novel di...
A novel method of incorporating shape information into the image segmentation process is presented. We introduce a representation for deformable shapes and define a probability di...
Michael E. Leventon, W. Eric L. Grimson, Olivier D...
Abstract—Contour features play an important role in object recognition. Psychological experiments have shown that maximum-curvature points are most distinctive along a contour [6...