Comparative study of Hough transform methods for circle finding
Image and Vision Computing - Special issue: 5th Alvey vision meeting
A hierarchical approach to line extraction based on the Hough transform
Computer Vision, Graphics, and Image Processing
Robust and Efficient Detection of Salient Convex Groups
IEEE Transactions on Pattern Analysis and Machine Intelligence
Asynchronous perceptual grouping: from contours to relevant 2-D structures
Computer Vision and Image Understanding
A Generic Grouping Algorithm and Its Quantitative Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Part-Based 3D Descriptions of Complex Objects from a Single Image
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape matching using edit-distance: an implementation
SODA '01 Proceedings of the twelfth annual ACM-SIAM symposium on Discrete algorithms
Generic Object Recognition: Building and Matching Coarse Descriptions from Line Drawings
IEEE Transactions on Pattern Analysis and Machine Intelligence
Generic Multi-scale Segmentation and Curve Approximation Method
Scale-Space '01 Proceedings of the Third International Conference on Scale-Space and Morphology in Computer Vision
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
Segmentation of Multiple Salient Closed Contours from Real Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Design Considerations for Generic Grouping in Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Finding Perceptually Closed Paths in Sketches and Drawings
IEEE Transactions on Pattern Analysis and Machine Intelligence
Extracting Salient Curves from Images: An Analysis of the Saliency Network
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Selection of Scale-Invariant Parts for Object Class Recognition
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Learning to Detect Natural Image Boundaries Using Local Brightness, Color, and Texture Cues
IEEE Transactions on Pattern Analysis and Machine Intelligence
Perceptual Grouping for Contour Extraction
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
Detection of Multi-Part Objects by Top-Down Perceptual Grouping
CRV '05 Proceedings of the 2nd Canadian conference on Computer and Robot Vision
Selective visual attention enables learning and recognition of multiple objects in cluttered scenes
Computer Vision and Image Understanding - Special issue: Attention and performance in computer vision
Qualitative part-based models in content-based image retrieval
Machine Vision and Applications
Scale-invariant shape features for recognition of object categories
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Edge Grouping Combining Boundary and Region Information
IEEE Transactions on Image Processing
Enhancing contour primitives by pairwise grouping and relaxation
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
Contour-based object detection as dominant set computation
Pattern Recognition
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A novel method is proposed to detect multi-part objects of unknown specific shape and appearance in natural images. It consists in first extracting a strictly over-segmented map of circular arcs and straight-line segments from an edge map. Each obtained constant-curvature contour primitive has an unknown origin which may be the external boundary of an interesting object, the textured or marked region enclosed by that boundary, or the external background region. The following processing steps identify, in a systematic yet efficient way, which groups of ordered contour primitives form a complete boundary of proper multi-part shape. Multiple detections are ranked with the top boundaries best satisfying a combination of global shape grouping criteria. Experimental results confirm the unique potential of the method to identify, in images of variable complexity, actual boundaries of multi-part objects as diverse as an airplane, a stool, a bicycle, a fish, and a toy truck.