Edge-based template matching and tracking for perspectively distorted planar objects

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5358 LNCS, Issue PART 1, 2008, Pages 35-44

  Hofhauser, Andreas ^a,b   Steger, Carsten ^a,b   Navab, Nassir ^a,b  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^b MVTEC SOFTWARE GMBH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

AUGMENTED REALITY APPLICATIONS; COARSE-TO-FINE; DESCRIPTORS; DETECTION AND TRACKING; DETECTION TIME; EDGE-BASED; INTERACTIVE FRAMES; INTEREST POINTS; MACHINE LEARNING METHODS; NON-PLANAR OBJECTS; SHAPE CHANGE; TRAINING DATA;

AUGMENTED REALITY; COMPUTER SCIENCE; TEMPLATE MATCHING; VIRTUAL REALITY;

THREE DIMENSIONAL;

EID: 68649101175     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-89639-5_4     Document Type: Conference Paper

References (12)

1. Ladikos, A., Benhimane, S., Navab, N.: A real-time tracking system combining template-based and feature-based approaches. In: International Conference on Computer Vision Theory and Applications (2007)
2. Lowe, D.G.: Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision (2004)
3. Berg, A., Berg, T., Malik, J.: Shape matching and object recognition using low distortion correspondences. In: Conference on Computer Vision and Pattern Recognition, San Diego, CA (2005)
4. Pilet, J., Lepetit, V., Fua, P.: Real-time non-rigid surface detection. In: Conference on Computer Vision and Pattern Recognition, San Diego, CA (2005)
5. Özuysal, M., Fua, P., Lepetit, V.: Fast keypoint recognition in ten lines of code. In: Conference on Computer Vision and Pattern Recognition (2007)
6. Gavrila, D.M., Philomin, V.: Real-time object detection for "smart" vehicles. In: 7th International Conference on Computer Vision, vol. I, pp. 87-93 (1999)
7. Olson, C.F., Huttenlocher, D.P.: Automatic target recognition by matching oriented edge pixels. IEEE Transactions on Image Processing 6, 103-113 (1997)
8. Steger, C.: Occlusion, clutter, and illumination invariant object recognition. In: Kalliany, R., Leberl, F. (eds.) International Archives of Photogrammetry, Remote Sensing, and Spatial Information Sciences, Graz, vol. XXXIV, part 3A, pp. 345-350 (2002)
9. Ulrich, M., Baumgartner, A., Steger, C.: Automatic hierarchical object decomposition for object recognition. In: International Archives of Photogrammetry and Remote Sensing, vol. XXXIV, part 5, pp. 99-104 (2002)
10. Hartley, R.I., Zisserman, A.: Multiple View Geometry in Computer Vision. Cambridge University Press, Cambridge (2000)
11. Benhimane, S., Malis, E.: Homography-based 2d visual tracking and servoing. Special Joint Issue IJCV/IJRR on Robot and Vision. The International Journal of Robotics Research 26, 661-676 (2007)
12. Zimmermann, K., Matas, J., Svoboda, T.: Tracking by an optimal sequence of linear predictors. Transactions on Pattern Analysis and Machine Intelligence (to appear, 2008)