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Eckes C, Triesch J, von der Malsburg C (2006) Analysis of cluttered scenes using an elastic matching approach for stereo images. Neural Comput 18:1441-71 [PubMed]

References and models cited by this paper

References and models that cite this paper

Belongie S, Malik J, Puzicha J (2002) Shape matching and object recognition using shape contexts IEEE Trans PAMI 24:509-522

Borenstein E, Sharon E, Ullman S (2004) Combining top-down and bottom-up segmentations IEEE Workshop on Perceptual Organization in Computer Vision

Borenstein E, Ullman S (2002) Class-specific, top-down segmentation Proceedings of the European Conference on Computer Vision :109-124

Borenstein E, Ullman S (2004) Learning to segment Proceedings of the European Conference on Computer Vision :315-328

Buhmann J, Lades M, von_der_Malsburg C (1990) Size and distortion invariant object recognition by hierarchical graph matching IJCNN International Conference on Neural Networks :411-416

Burl M, Perona P (1996) Recognition of planar object classes 1996 Conference on Computer Vision and Pattern Recognition

Deco G, Schürmann B (2000) A hierarchical neural system with attentional top-down enhancement of the spatial resolution for object recognition. Vision Res 40:2845-59 [PubMed]

Duc B, Fischer S, Bigun J (1999) Face authentication with Gabor information on deformable graphs. IEEE Trans Image Process 8:504-16 [Journal] [PubMed]

Duda RO, Hart PE (1973) Pattern Classification and Scene Analysis

Eckes C (2006) Fusion of visual cues for segmentation and object recognition In Preparation

Eckes C, Triesch J (2004) Stereo cluttered scenes image database (SCS-IDB) Available online at http:--greece.imk.fraunhofer.de-publications-data-SCS-SCS.zip

Eckes C, Vorbruggen JC (1996) Combining data-driven and model-based cues for segmentation of video sequences World Conference on Neural Networks :868-875

Edelman S (1995) Representation of similarity in three-dimensional object discrimination. Neural Comput 7:408-23 [PubMed]

Edelman S (1996) Representation is representation of similarities Tech. Rep. No. CS96-0 8, 1996

Fischler MA, Elschlager RA (1973) The representation and matching of pictorial structures IEEE Trans Computers 22:67-92

Fleuret F, Geman D (2001) Coarse-to-fine face detection Int J Comp Vis 41:85-107

Forsyth DA, Ponce J (2002) Computer vision: A modern approach

Fukushima K (2000) Active and adaptive vision: Neural network models Biologically motivated computer vision, Lee SW:Bulthoff HH:Poggio T, ed.

Fukushima K, Miyake S, Ito T (1983) Neocognitron: A neural network model for a mechanism of visual pattern recognition IEEE Trans Systems, Man, and Cybernetics 13:826-834

Gonzales RC, Woods RE (1992) Digital image processing, Gonzales RC:Woods RE, ed.

Harwerth RS, Moeller MC, Wensveen JM (1998) Effects of cue context on the perception of depth from combined disparity and perspective cues. Optom Vis Sci 75:433-44 [PubMed]

Itti L, Koch C (2000) A saliency-based search mechanism for overt and covert shifts of visual attention. Vision Res 40:1489-506 [PubMed]

Jones JP, Palmer LA (1987) An evaluation of the two-dimensional Gabor filter model of simple receptive fields in cat striate cortex. J Neurophysiol 58:1233-58 [Journal] [PubMed]

Kefalea E (2001) Flexible object recognition for a grasping robot Unpublished doctoral dissertation

Lades M, Vorbruggen JC, Buhmann J, Lange J, von_der_Malsburg C, Wurtz RP, Konen W (1993) Distortion invariant object recognition in the dynamic link architecture IEEE Trans Computers 42:300-311

Lee TS, Mumford D (2003) Hierarchical Bayesian inference in the visual cortex. J Opt Soc Am A Opt Image Sci Vis 20:1434-48 [PubMed]

Lee TS, Mumford D, Romero R, Lamme VA (1998) The role of the primary visual cortex in higher level vision. Vision Res 38:2429-54 [PubMed]

Lowe DG (2004) Distinctive image features from scale-invariant keypoints Int J Comp Vis 60:91-110

Mel BW (1997) SEEMORE: combining color, shape, and texture histogramming in a neurally inspired approach to visual object recognition. Neural Comput 9:777-804

Messmer BT, Bunke H (1998) A new algorithm for error-tolerent subgraph isomorphism detection IEEE Transactions On Pattern Analysis And Machine Learning 20:493-504

Moreels P, Maire M, Perona P (2004) Recognition by probabilistic hypothesis construction Eighth European Conference on Computer Vision

Mumford D (1991) On the computational architecture of the neocortex. I. The role of the thalamo-cortical loop. Biol Cybern 65:135-45 [PubMed]

Murase H, Nayar SK (1995) Visual learning and recognition of 3-D objects from appearance Int J Comp Vis 14:5-24

Nelson RC, Selinger A (1998) Large-scale tests of a keyed, appearance-based 3-D object recognition system. Vision Res 38:2469-88 [PubMed]

Peterson M (1999) Knowledge and intention can penetrate early vision Behav Brain Sci 22:389

Peterson MA, Gibson BS (1994) Must figure ground organization precede object recognition? An assumption in peril Psychol Sci 7:253-259

Peterson MA, Harvey EM, Weidenbacher HJ (1991) Shape recognition contributions to figure-ground reversal: which route counts? J Exp Psychol Hum Percept Perform 17:1075-89 [PubMed]

Phillips P, Moon H, Rizvi S, Rauss P (2000) The FERET evaluation methodology for face-recognition algorithms IEEE Transactions On Pattern Analysis And Machine Intelligence 22:1090-1104

Poggio T, Gamble EB, Little JJ (1988) Parallel integration of vision modules. Science 242:436-40 [PubMed]

Pope AR, Lowe DG (1996) Learning appearance models for object recognition Object representation in computer vision II, Ponce J:Zisserman A:Herbert, ed. pp.201

Pope AR, Lowe DG (2000) Probabilistic models of appearance for 3-D object recognition Int J Comp Vis 40:149-167

Pratt WK (2001) Digital image processing

Ren X, Malik J (2002) A probabilistic multi-scale model for contour completion based on image statistics Proceedings of the Seventh European Conference on Computer Vision :312-327

Riesenhuber M, Poggio T (2000) Models of object recognition. Nat Neurosci 3 Suppl:1199-204 [Journal] [PubMed]

Rosenfeld A (1984) Image analysis: Problems, progress, and prospects Pattern Recognition 17:3-12

Rowley H, Baluja S, Kanade T (1998) Neural network-based face detection IEEE Transactions On Pattern Analysis And Machine Intelligence 20:23-38

Shams L, von der Malsburg C (2002) The role of complex cells in object recognition. Vision Res 42:2547-54 [PubMed]

Steffens J, Elagin E, Neven H (1998) Personspotter-fast and robust system for human detection, tracking and recognition Proceedings of the Third International Conference on Face and Gesture Recognition :516-521

Swain M, Ballard DH (1991) Color indexing Int J Computer Vis 7:11-32

Tarr MJ, Bülthoff HH (1998) Image-based object recognition in man, monkey and machine. Cognition 67:1-20 [PubMed]

Triesch J (1999) Vision-based robotic gesture Recognition

Triesch J, Eckes C (1998) Object recognition with multiple feature types Proceedings ICANN 98, Niklasson L:Boden M:Ziemke T, ed. pp.233

Triesch J, Eckes C (2004) Object recognition with deformable feature graphs: Faces, hands, and cluttered scenes Handbook of pattern recognition and computer vision, Chen CH, ed.

Triesch J, von_der_Malsburg C (2001) A system for person-independent hand posture recognition against complex backgrounds IEEE Trans PAMI 23:1449-1453

Triesch J, von_der_Malsburg C (2002) Classification of hand postures against complex backgrounds using elastic graph matching Image And Vision Computing 20:937-943

Tu Z, Chen X, Yuille A, Zhu S (2003) Image parsing: Unifying segmentation, detection, and recognition Proceedings of the Ninth IEEE International Conference on Computer Vision

Turk M, Pentland A (1991) Eigen faces for recognition J Cogn Neurosci 3:71-86

Viola P, Jones M (2001) Rapid object detection using a boosted cascade of simple features Paper presented at the IEEE Conference on Computer Vision and Pattern Recognition

Viola P, Jones MJ (2001) Robust real-time object detection Tech. Rep. CRL2001-01

Wilcox T (1999) Object individuation: infants' use of shape, size, pattern, and color. Cognition 72:125-66

Wiskott L, Fellous JM, Kruger N, von_der_Malsburg C (1997) Face recognition by elastic bunch graph matching Ieee Transactions On Pattern Analysis And Machine Intelligen 19:775-779

Wiskott L, von_der_Malsburg C (1993) A neural system for the recognition of partially occluded objects in cluttered scenes: A pilot study International Journal Of Pattern Recognition And Artificial Intelligen 7:935-948

Yuille AL (1991) Deformable templates for face recognition. J Cogn Neurosci 3:59-70 [Journal] [PubMed]

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