Multi-stage Contour Based Detection of Deformable Objects
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Shape Matching by Segmentation Averaging
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Classification of silhouettes using contour fragments
Computer Vision and Image Understanding
Patch Growing: Object segmentation using spatial coherence of local patches
Proceedings of the 2009 conference on Artificial Intelligence Research and Development: Proceedings of the 12th International Conference of the Catalan Association for Artificial Intelligence
Patch Growing: Object segmentation using spatial coherence of local patches
Proceedings of the 2009 conference on Artificial Intelligence Research and Development: Proceedings of the 12th International Conference of the Catalan Association for Artificial Intelligence
Spatial Configuration of Local Shape Features for Discriminative Object Detection
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part I
An Approach to the Parameterization of Structure for Fast Categorization
International Journal of Computer Vision
Structural descriptors for category level object detection
IEEE Transactions on Multimedia
Detecting object boundaries using low-, mid-, and high-level information
Computer Vision and Image Understanding
Using multi-modal 3D contours and their relations for vision and robotics
Journal of Visual Communication and Image Representation
Backprojection revisited: scalable multi-view object detection and similarity metrics for detections
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
Object recognition using junctions
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
From a set of shapes to object discovery
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
Boosting chamfer matching by learning chamfer distance normalization
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
Weakly supervised shape based object detection with particle filter
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
Learning shape detector by quantizing curve segments with multiple distance metrics
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
Region and edge-adaptive sampling and boundary completion for segmentation
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part II
EURASIP Journal on Advances in Signal Processing - Special issue on biologically inspired signal processing: analyses, algorithms and applications
Multiple viewpoint recognition and localization
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part I
Learning invariant structure for object identification by using graph methods
Computer Vision and Image Understanding
Orientation and anisotropy of multi-component shapes from boundary information
Pattern Recognition
Skeleton Search: Category-Specific Object Recognition and Segmentation Using a Skeletal Shape Model
International Journal of Computer Vision
Computational-geometry approach to digital image contour extraction
Transactions on computational science XIII
Beyond pairwise shape similarity analysis
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
Image-Based grasping point detection using boosted histograms of oriented gradients
ICIAR'10 Proceedings of the 7th international conference on Image Analysis and Recognition - Volume Part I
Image colorization using similar images
Proceedings of the 20th ACM international conference on Multimedia
From meaningful contours to discriminative object shape
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part I
Parametric annealing: A stochastic search method for human pose tracking
Pattern Recognition
Max-Margin regularization for reducing accidentalness in chamfer matching
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
Grouping active contour fragments for object recognition
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
View-Invariant object detection by matching 3d contours
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume 2
Tracking the untrackable: how to track when your object is featureless
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume 2
Object class detection: A survey
ACM Computing Surveys (CSUR)
Fast detection of multiple textureless 3-D objects
ICVS'13 Proceedings of the 9th international conference on Computer Vision Systems
Pose refinement of transparent rigid objects with a stereo camera
Transactions on Computational Science XIX
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Psychophysical studies [9], [17] show that we can recognize objects using fragments of outline contour alone. This paper proposes a new automatic visual recognition system based only on local contour features, capable of localizing objects in space and scale. The system first builds a class-specific codebook of local fragments of contour using a novel formulation of chamfer matching. These local fragments allow recognition that is robust to within-class variation, pose changes, and articulation. Boosting combines these fragments into a cascaded sliding-window classifier, and mean shift is used to select strong responses as a final set of detections. We show how learning can be performed iteratively on both training and test sets to boot-strap an improved classifier. We compare with other methods based on contour and local descriptors in our detailed evaluation over 17 challenging categories, and obtain highly competitive results. The results confirm that contour is indeed a powerful cue for multi-scale and multi-class visual object recognition.