A note on the gradient of a multi-image
Computer Vision, Graphics, and Image Processing - Lectures notes in computer science, Vol. 201 (G. Goos and J. Hartmanis, Eds.)
Image understanding research at Carnegie Mellon
Proceedings of a workshop on Image understanding workshop
A Stereo Vision Technique Using Curve-Segments and Relaxation Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
A survey of image registration techniques
ACM Computing Surveys (CSUR)
Topographic Maps and Local Contrast Changes in Natural Images
International Journal of Computer Vision
Geometry and Color in Natural Images
Journal of Mathematical Imaging and Vision
Comparing Images Using the Hausdorff Distance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Stereo Matching Using Belief Propagation
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part II
Color image edge detection using cluster analysis
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1
Topographic Maps of Color Images
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 3
Symmetric Stereo Matching for Occlusion Handling
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
ZNCC-based template matching using bounded partial correlation
Pattern Recognition Letters
Contrast invariant registration of images
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06
Integrating learning into a hierarchical vehicle control system
Integrated Computer-Aided Engineering
Circular road signs recognition with soft classifiers
Integrated Computer-Aided Engineering - Artificial Neural Networks
Digital Color Image Processing
Digital Color Image Processing
A color topographic map based on the dichromatic reflectance model
Journal on Image and Video Processing - Color in Image and Video Processing
IEEE Transactions on Pattern Analysis and Machine Intelligence
An iterative image registration technique with an application to stereo vision
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
A region-based stereo algorithm
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
Efficient cumulative matching for image registration
Image and Vision Computing
Spectral shape descriptor using spherical harmonics
Integrated Computer-Aided Engineering
High-accuracy stereo depth maps using structured light
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Automatic target recognition by matching oriented edge pixels
IEEE Transactions on Image Processing
Fast computation of a contrast-invariant image representation
IEEE Transactions on Image Processing
Disocclusion: a variational approach using level lines
IEEE Transactions on Image Processing
Enhancing a disparity map by color segmentation
Integrated Computer-Aided Engineering
Level-line primitives for image registration with figures of merit
Integrated Computer-Aided Engineering
| Hi-index | 0.00 |
Level sets appear a suitable basis to decomposing an image into a meaningful organization of basic entities. Handling images by a basis of associated sets proves more effective than considering images as the collection of acquired intensity values, even in several frequency bands, due to the various noise sources. Then, level lines and sets are more stable features to support recognition than edges likely resulting from high pass filtering. Color being assumed more informative than intensity is preferred to exhibit the set basis. In the paper, color lines are defined after level lines and they are extracted and characterized consecutively. Greater information is conveyed by color lines resulting into more efficient grouping towards objects. A novel Hausdorff-inspired disparity finder is introduced fed in by color lines with respect to epipolar constraints. The efficient disparity map obtained by pixel wise line-matching between left and right images justifies our technical choices.