Illumination insensitive template matching with hyperplanes

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

Volumn 2781, Issue , 2003, Pages 273-280

  Gräßl, Christoph ^a   Zinßer, Timo ^a   Niemann, Heinrich ^a  

^a UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; GEOMETRY; IMAGE MATCHING; IMAGE PROCESSING; PATTERN RECOGNITION;

ILLUMINATION CHANGES; ILLUMINATION INSENSITIVE; OBJECT TRACKING; REAL IMAGE SEQUENCES; REAL TIME TRACKING; TEMPLATE MATCHING TECHNIQUE; TEMPLATE-MATCHING ALGORITHMS; VISION-BASED APPLICATIONS;

TEMPLATE MATCHING;

EID: 33750804841     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-45243-0_36     Document Type: Article

References (9)

1. Kang, D., Kweon, I.: Fast and Stable Snake Algorithm for Medical Images. Pattern Recognition Letters 20 (1999) 507-512
2. Ziliani, F., Reichel, J.: Effective Integration of Object Tracking in a Video Coding Scheme for Multisensor Surveillance Systems. In: Proceedings of the IEEE International Conference on Image Processing (ICIP), Rochester, USA, IEEE Computer Society Press (2002) 521-524
3. Zobel, M., Fritz, M., Scholz, I.: Object Tracking and Pose Estimation Using Light-Field Object Models. In Greiner, G., Niemann, H., Ertl, T., Girod, B., Seidel, H., eds.: Vision, Modeling, and Visualization 2002, Erlangen, Germany, Infix (2002) 371-378
4. Hager, G., Belhumeur, P.: Efficient region tracking with parametric models of geometry and illumination. IEEE Transactions on Pattern Analysis and Machine Intelligence 20 (1998) 1025-1039
5. Jurie, F., Dhome, M.: Hyperplane approach for template matching. IEEE Transactions on Pattern Analysis and Machine Intelligence 24 (2002) 996-1000
6. Belhumeur, P., Kriegman, D.: What is the set of images of an object under all possible lighting conditions. In: IEEE Confernce on Computer Vision and Pattern Recognition, IEEE Computer Society Press (1996) 270-277
7. Betke, M., Makris, N.: Fast object recognition in noisy images using simulated annealing. Technical Memo AIM-1510, Massachusetts Institute of Technology, Artificial Intelligence Laboratory (1995)
8. Jin, H., Favaro, P., Soatto, S.: Real-Time Feature Tracking and Outlier Rejection with Changes in Illumination. In: International Conference On Computer Vision, Los Alamitos, IEEE Computer Society (2001) 684-689
9. Fusiello, A., Trucco, E., Tommasini, T., Roberto, V.: Improving Feature Tracking with Robust Statistics. Pattern Analysis and Application 2 (1999) 312-320