Global Detection of Salient Convex Boundaries
International Journal of Computer Vision
Groups of Adjacent Contour Segments for Object Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Enhancing Boundary Primitives Using a Multiscale Quadtree Segmentation
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing
Detection of unexpected multi-part objects from segmented contour maps
Pattern Recognition
Object category recognition using generative template boosting
EMMCVPR'07 Proceedings of the 6th international conference on Energy minimization methods in computer vision and pattern recognition
Optimal contour closure by superpixel grouping
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
Contour grouping and abstraction using simple part models
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
Spatiotemporal contour grouping using abstract part models
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part IV
Optimal Image and Video Closure by Superpixel Grouping
International Journal of Computer Vision
Anytime perceptual grouping of 2D features into 3D basic shapes
ICVS'13 Proceedings of the 9th international conference on Computer Vision Systems
| Hi-index | 0.00 |
This paper describes an algorithm that efficiently groups line segments into perceptually salient contours in complex images. A measure of affinity between pairs of lines is used to guide group formation and limit the branching factor of the contour search procedure. The extracted contours are ranked, and presented as a contour hierarchy. Our algorithm is able to extract salient contours in the presence of texture, clutter, and repetitive or ambiguous image structure. We show experimental results on a complex line-set.