Edgel-aggregation and edge-description
Computer Vision, Graphics, and Image Processing
Segmentation through Variable-Order Surface Fitting
IEEE Transactions on Pattern Analysis and Machine Intelligence
A framework for estimation of motion parameters from range image
Computer Vision, Graphics, and Image Processing
A Parallel Technique for Signal-Level Perceptual Organization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust regression methods for computer vision: a review
International Journal of Computer Vision
Ignorance, myopia, and naivete´ in computer vision systems
CVGIP: Image Understanding
Understanding Object Configurations using Range Images
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Roof edge detection: a morphological skeleton approach
Advances in machine vision
Model-based object recognition in dense-range images—a review
ACM Computing Surveys (CSUR)
Model-based classification of quadric surfaces
CVGIP: Image Understanding
A Bayesian multiple-hypothesis approach to edge grouping and contour segmentation
International Journal of Computer Vision
Performance of optical flow techniques
International Journal of Computer Vision
Three-dimensional object recognition
Handbook of pattern recognition and image processing (vol. 2)
Surface correspondence and motion computation from a pair of range images
Computer Vision and Image Understanding
An Experimental Comparison of Range Image Segmentation Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
B-rep object description from multiple range views
International Journal of Computer Vision - Special issue on computer vision research at the University of Southern California
Performance characteristics of vision algorithms
Machine Vision and Applications - Special issue on performance evaluation
A Framework for Performance Characterization of Intermediate-Level Grouping Modules
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust Visual Method for Assessing the Relative Performance of Edge-Detection Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Edge detection in range images based on scan line approximation
Computer Vision and Image Understanding
IEEE Transactions on Pattern Analysis and Machine Intelligence
Heteroscedastic Regression in Computer Vision: Problems with Bilinear Constraint
International Journal of Computer Vision - Special issue on a special section on visual surveillance
Empirical Evaluation Techniques in Computer Vision
Empirical Evaluation Techniques in Computer Vision
Optimality Analysis of Edge Detection Algorithms for Range Images
ICIAP '97 Proceedings of the 9th International Conference on Image Analysis and Processing-Volume I - Volume I
Range Image Segmentation: Adaptive Grouping of Edges into Regions
ACCV '98 Proceedings of the Third Asian Conference on Computer Vision-Volume II
On comparing the performance of object recognition systems
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol.2)-Volume 2 - Volume 2
Search-Based Contour Closure in Range Images
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
Progress in Automated Evaluation of Curved Surface Range Image Segmentation
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
Optimal Range Segmentation Parameters through Genetic Algorithms
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
Comparing Curved-Surface Range Image Segmenters
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Extraction and tracking of surfaces in range image sequences
3DIM'99 Proceedings of the 2nd international conference on 3-D digital imaging and modeling
IEEE Transactions on Pattern Analysis and Machine Intelligence
Saliency sequential surface organization for free-form object recognition
Computer Vision and Image Understanding
A New Technique for the Extraction and Tracking of Surfaces in Range Image Sequences
Revised Papers from the International Workshop on Sensor Based Intelligent Robots
Improved range image segmentation by analyzing surface fit patterns
Computer Vision and Image Understanding
Tuning range image segmentation by genetic algorithm
EURASIP Journal on Applied Signal Processing
Distance measures for image segmentation evaluation
EURASIP Journal on Applied Signal Processing
Automated hierarchical image segmentation based on merging of quadrilaterals
ISCGAV'06 Proceedings of the 6th WSEAS International Conference on Signal Processing, Computational Geometry & Artificial Vision
Improved range image segmentation by analyzing surface fit patterns
Computer Vision and Image Understanding
Review article: Edge and line oriented contour detection: State of the art
Image and Vision Computing
Alternating scheme for supervised parameter learning with application to image segmentation
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part I
Circulation and topological control in image segmentation
CIARP'05 Proceedings of the 10th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis and Applications
A novel parameter decomposition approach to faithful fitting of quadric surfaces
PR'05 Proceedings of the 27th DAGM conference on Pattern Recognition
Image segmentation evaluation by techniques of comparing clusterings
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
| Hi-index | 0.15 |
The potential of edge-based complete image segmentation into regions has not gained the due attention in the literature thus far. The present paper attempts to explore this potential by proposing an adaptive grouping algorithm to solve the contour closure problem that is the key to a successful edge-based complete image segmentation. The effectiveness of the proposed algorithm will be extensively tested in the range image domain and compared to several region-based segmentation methods within a rigorous comparison framework. On three range image databases of varying quality acquired by different range scanners, it will be shown that the proposed approach is able to achieve very appealing performance with respect to both segmentation quality and computation time.