Primal sketch: Integrating structure and texture, Computer Vision and Image Understanding, vol.106, issue.1, pp.5-19, 2007. ,
DOI : 10.1016/j.cviu.2005.09.004
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.331.1786
Organization in vision : essays on gestalt perception, 1979. ,
The Role of Junctions in Surface Completion and Contour Matching, Perception, vol.26, issue.4, pp.339-366, 2001. ,
DOI : 10.1068/p3173
Ueber visuell whargenommene bewegungrichtung, Psychologische Forschung, 1935. ,
The Perception of Transparency, Scientific American, vol.230, issue.4, pp.90-98, 1974. ,
DOI : 10.1038/scientificamerican0474-90
Lightness perception and lightness illusions The New Cognitive Neurosciences, pp.339-351, 2000. ,
Visual organization for figure/ground separation, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.155-161, 1996. ,
DOI : 10.1109/CVPR.1996.517068
Figure/Ground Assignment in Natural Images, Proc. of European Conference on Computer Vision, pp.614-627, 2006. ,
DOI : 10.1068/p5265
Boundary ownership by lifting to 2.1D, 2009 IEEE 12th International Conference on Computer Vision, pp.9-16, 2009. ,
DOI : 10.1109/ICCV.2009.5459208
Exploiting T-junctions for depth segregation in single images, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.1229-1232, 2009. ,
DOI : 10.1109/ICASSP.2009.4959812
Polymorphic grouping for image segmentation, Proceedings of IEEE International Conference on Computer Vision, pp.175-182, 1995. ,
DOI : 10.1109/ICCV.1995.466789
Segmentation and Classification of Edges Using Minimum Description Length Approximation and Complementary Junction Cues, Computer Vision and Image Understanding, vol.67, issue.1, pp.88-98, 1997. ,
DOI : 10.1006/cviu.1996.0510
Segmentation by grouping junctions, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231), p.125, 1998. ,
DOI : 10.1109/CVPR.1998.698598
Decomposition of a visual scene into three-dimensional bodies, Proceedings of the December 9-11, 1968, fall joint computer conference, part I on, AFIPS '68 (Fall, part I), pp.291-304, 1968. ,
DOI : 10.1145/1476589.1476631
Recognizing and Locating Partially Visible Objects: The Local-Feature-Focus Method, The International Journal of Robotics Research, vol.9, issue.3, pp.57-82, 1982. ,
DOI : 10.1145/361237.361242
An Empirical Study of Object Category Recognition: Sequential Testing with Generalized Samples, 2007 IEEE 11th International Conference on Computer Vision, 2007. ,
DOI : 10.1109/ICCV.2007.4408873
Psychophysics with Junctions in Real Images, Perception, vol.3, issue.9, pp.1101-1127, 2004. ,
DOI : 10.1068/p5265
Meaningful alignments, International Journal of Computer Vision, vol.40, issue.1, pp.7-23, 2000. ,
DOI : 10.1023/A:1026593302236
Towards automatic visual obstacle avoidance, Proc. of IJCAI, p.584, 1977. ,
A combined corner and edge detection, Proc. of The Fourth Alvey Vision Conference, pp.147-151, 1988. ,
A feature based correspondence algorithm for image matching, ISP Comm. III, 1986. ,
Good features to track, Proc. of Computer Vision and Pattern Recognition, pp.593-600, 1994. ,
Phase congruency detects corners and edges, Proc. of DICTA, pp.309-318, 2003. ,
An Axiomatic Approach to Corner Detection, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), pp.191-197, 2005. ,
DOI : 10.1109/CVPR.2005.68
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.74.9725
SUSAN: A new approach to low level image processing, International Journal of Computer Vision, vol.23, issue.1, pp.45-78, 1995. ,
DOI : 10.1023/A:1007963824710
Fast corner detection, Image and Vision Computing, vol.16, issue.2, pp.75-87, 1998. ,
DOI : 10.1016/S0262-8856(97)00056-5
Fusing points and lines for high performance tracking, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1, pp.1508-1511, 2005. ,
DOI : 10.1109/ICCV.2005.104
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.60.4715
Faster and Better: A Machine Learning Approach to Corner Detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.32, issue.1, pp.105-119, 2010. ,
DOI : 10.1109/TPAMI.2008.275
A computational approach for corner and vertex detection, International Journal of Computer Vision, vol.8, issue.2, pp.101-124, 1993. ,
DOI : 10.1007/BF01420733
Junction detection with automatic selection of detection scales and localization scales, Proceedings of 1st International Conference on Image Processing, pp.924-928, 1994. ,
DOI : 10.1109/ICIP.1994.413244
Evaluation of interest point detectors, International Journal of Computer Vision, vol.37, issue.2, pp.151-172, 2000. ,
DOI : 10.1023/A:1008199403446
URL : https://hal.archives-ouvertes.fr/inria-00548302
Distinctive Image Features from Scale-Invariant Keypoints, International Journal of Computer Vision, vol.60, issue.2, pp.91-110, 2004. ,
DOI : 10.1023/B:VISI.0000029664.99615.94
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.14.4931
Scale & Affine Invariant Interest Point Detectors, International Journal of Computer Vision, vol.60, issue.1, pp.63-86, 2004. ,
DOI : 10.1023/B:VISI.0000027790.02288.f2
URL : https://hal.archives-ouvertes.fr/inria-00548554
Affine morphological multiscale analysis of corners and multiple junctions, International Journal of Computer Vision, vol.25, issue.2, pp.95-107, 1997. ,
DOI : 10.1023/A:1007959616598
Angle Detection on Digital Curves, IEEE Transactions on Computers, vol.22, issue.9, pp.875-878, 1973. ,
DOI : 10.1109/TC.1973.5009188
On the detection of dominant points on digital curves, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.11, issue.8, pp.859-872, 1989. ,
DOI : 10.1109/34.31447
Scale-based detection of corners of planar curves, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.14, issue.4, pp.430-449, 1992. ,
DOI : 10.1109/34.126805
Real-time corner detection algorithm for motion estimation, Image and Vision Computing, vol.13, issue.9, pp.695-703, 1995. ,
DOI : 10.1016/0262-8856(95)98864-P
Robust image corner detection through curvature scale space, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.20, issue.12, pp.1376-1381, 1998. ,
DOI : 10.1109/34.735812
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.505.1439
An improved curvature scale-space corner detector and a robust corner matching approach for transformed image identification, IEEE Trans. Image Processing, vol.17, issue.12, pp.2425-2441, 2008. ,
Finding junctions using the image gradient, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.720-721, 1991. ,
DOI : 10.1109/CVPR.1991.139798
Steerable filters and local analysis of image structure, 1992. ,
Recognizing corners by fitting parametric models, International Journal of Computer Vision, vol.10, issue.2, pp.213-230, 1992. ,
DOI : 10.1007/BF00133702
Steerable-scalable kernels for edge detection and junction analysis, Image and Vision Computing, vol.10, issue.10, pp.663-672, 1992. ,
DOI : 10.1016/0262-8856(92)90011-Q
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.55.6260
Junction detection and filtering: a morphological approach, Proceedings of 3rd IEEE International Conference on Image Processing, pp.493-496, 1996. ,
DOI : 10.1109/ICIP.1996.559541
Good continuations in digital image level lines, Proceedings Ninth IEEE International Conference on Computer Vision, pp.440-446, 2003. ,
DOI : 10.1109/ICCV.2003.1238380
Compositional Boosting for Computing Hierarchical Image Structures, 2007 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2007. ,
DOI : 10.1109/CVPR.2007.383034
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.133.3698
Using contours to detect and localize junctions in natural images, 2008 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2008. ,
DOI : 10.1109/CVPR.2008.4587420
Recovering and characterizing image features using an efficient model based approach, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp.530-535, 1993. ,
DOI : 10.1109/CVPR.1993.341079
URL : https://hal.archives-ouvertes.fr/inria-00074253
Junctions: detection, classification, and reconstruction, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.20, issue.7, pp.687-698, 1998. ,
DOI : 10.1109/34.689300
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.36.3304
Edge, junction, and corner detection using color distributions, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.23, issue.11, pp.1281-1295, 2001. ,
DOI : 10.1109/34.969118
Two bayesian methods for junction classification, IEEE Transactions on Image Processing, vol.12, issue.3, pp.317-327, 2003. ,
DOI : 10.1109/TIP.2002.806242
Junction detection and grouping with probabilistic edge models and Bayesian, Pattern Recognition, vol.35, issue.9, pp.1869-1881, 2002. ,
DOI : 10.1016/S0031-3203(01)00150-9
A model-based approach to junction detection using radial energy, Pattern Recognition, vol.41, issue.2, pp.494-505, 2008. ,
DOI : 10.1016/j.patcog.2007.06.032
Non-maximum suppression of gradient magnitudes makes them easier to threshold, Pattern Recognition Letters, vol.1, issue.2, pp.93-94, 1982. ,
DOI : 10.1016/0167-8655(82)90019-8
Efficient Non-Maximum Suppression, 18th International Conference on Pattern Recognition (ICPR'06), pp.850-855, 2006. ,
DOI : 10.1109/ICPR.2006.479
A Probabilistic Criterion to Detect Rigid Point Matches Between Two Images and Estimate the Fundamental Matrix, International Journal of Computer Vision, vol.57, issue.3, pp.201-218, 2004. ,
DOI : 10.1023/B:VISI.0000013094.38752.54
URL : https://hal.archives-ouvertes.fr/hal-00171323
An A Contrario Decision Method for Shape Element Recognition, International Journal of Computer Vision, vol.21, issue.11, pp.295-315, 2006. ,
DOI : 10.1007/s11263-006-7546-0
LSD: A Fast Line Segment Detector with a False Detection Control, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.32, issue.4, pp.722-732, 2010. ,
DOI : 10.1109/TPAMI.2008.300
From Gestalt Theory to Image Analysis: A Probabilistic Approach, 2008. ,
DOI : 10.1007/978-0-387-74378-3
URL : https://hal.archives-ouvertes.fr/hal-00259077
Statistics of natural images: Scaling in the woods, Physical Review Letters, vol.73, issue.6, pp.814-817, 1994. ,
DOI : 10.1103/PhysRevLett.73.814
Feature detection with automatic scale selection, International Journal of Computer Vision, vol.30, issue.2, pp.79-116, 1998. ,
DOI : 10.1023/A:1008045108935
Resolution- Independent Characteristic Scale Dedicated to Satellite Images, IEEE Transactions on Image Processing, vol.16, issue.10, pp.2503-2514, 2007. ,
DOI : 10.1109/TIP.2007.906004
URL : https://hal.archives-ouvertes.fr/hal-00176968
Improving the saliency algorithm by cue optimization, 2006. ,