On behalf of the organizing committee, we would like to welcome you to Da- nd stadt and DAGM 2010,the 32 Annual Symposium of the German Association for Pattern Recognition. The technical program covered all aspects of pattern recognition and, to name only a few areas, ranged from 3D reconstruction, to object recognition and medical applications. The result is re?ected in these proceedings, which contain the papers presented at DAGM 2010. Our call for papers resulted in 134 submissions from institutions in 21 countries. Each paper underwent a rigorous reviewing process and was assigned to at least three program committee m- bers for review. The reviewing phase was followed by a discussion phase among the respective program committee members in order to suggest papers for - ceptance. The ?nal decision was taken during a program committee meeting held in Darmstadt based on all reviews, the discussion results and, if necessary, additional reviewing. Based on this rigorous process we selected a total of 57 papers, corresponding to an acceptance rate of below 45%. Out of all accepted papers, 24 were chosen for oral and 33 for poster presentation. All accepted - pers have been published in these proceedings and given the same number of pages. We would like to thank all members of the program committee as well as the external reviewers for their valuable and highly appreciated contribution to the community.
| ISBN: | 9783642159855 |
| Publication date: | 13th September 2010 |
| Author: | Michael Goesele, Stefan Roth, Arjan Kuijper, Bernt Schiele, Konrad Schindler |
| Publisher: | Springer an imprint of Springer Berlin Heidelberg |
| Format: | Paperback |
| Pagination: | 574 pages |
| Series: | Lecture Notes in Computer Science |
| Genres: |
Computer vision Pattern recognition Artificial intelligence Algorithms and data structures Graphics programming Applied computing |
On behalf of the organizing committee, we would like to welcome you to Da- nd stadt and DAGM 2010,the 32 Annual Symposium of the German Association for Pattern Recognition. The technical program covered all aspects of pattern recognition and, to name only a few areas, ranged from 3D reconstruction, to object recognition and medical applications. The result is re?ected in these proceedings, which contain the papers presented at DAGM 2010. Our call for papers resulted in 134 submissions from institutions in 21 countries. Each paper underwent a rigorous reviewing process and was assigned to at least three program committee m- bers for review. The reviewing phase was followed by a discussion phase among the respective program committee members in order to suggest papers for - ceptance. The ?nal decision was taken during a program committee meeting held in Darmstadt based on all reviews, the discussion results and, if necessary, additional reviewing. Based on this rigorous process we selected a total of 57 papers, corresponding to an acceptance rate of below 45%. Out of all accepted papers, 24 were chosen for oral and 33 for poster presentation. All accepted - pers have been published in these proceedings and given the same number of pages. We would like to thank all members of the program committee as well as the external reviewers for their valuable and highly appreciated contribution to the community.
Pattern Recognition Image Processing, Computer Vision, Pattern Recognition, and Graphics features in the following genres: Computer vision, Pattern recognition, Artificial intelligence, Algorithms and data structures, Graphics programming, Applied computing
Pattern Recognition Image Processing, Computer Vision, Pattern Recognition, and Graphics is available in Paperback
Pattern Recognition Image Processing, Computer Vision, Pattern Recognition, and Graphics was written by Michael Goesele, Stefan Roth, Arjan Kuijper, Bernt Schiele, Konrad Schindler and published by Springer an imprint of Springer Berlin Heidelberg
Pattern Recognition Image Processing, Computer Vision, Pattern Recognition, and Graphics has 574 pages
Yes it is part of Lecture Notes in Computer Science series