Appearance-Based Statistical Object Recognition Including Color and Context Modeling
By (author) Marcin Grzegorzek
Paperback (Published)
(May 2007)
ISBN: 9783832515881
5.71 x 8.27 inches
Price: $61.00
In stock
Within the scope of this dissertation a system for appearance-based statistical classification and localization of 3-D objects in 2-D digital images is presented. The first three chapters define the object recognition task, present the mathematical background of the system, and discuss the known approaches for object recognition. Then the learning phase of the system is described. The training begins with the image acquisition, which can be done with a hand-held camera. The object poses required for the further object modeling are computed from the training image sequence with the structure-from-motion algorithm. In contrast to shape-based approaches, appearance-based methods do not use any segmentation steps to extract object features. The objects are described by 2-D local feature vectors computed directly from image pixel values using the wavelet transform. Both gray level and color images can be used for feature extraction. Finally, the object features are statistically modeled with the normal distribution and stored in the object models as density functions. Additionally, context modeling is also performed in the training phase. In the recognition phase the system classifies and localizes objects in scenes with real heterogeneous background, whereas the number of objects in a scene is unknown. First, feature vectors are calculated in the scene with the same method as in the training. Second, a maximization algorithm evaluates the learned density functions with the extracted feature vectors and yields classes and poses of objects found in the scene. Experiments made on a real data set with more than 40000 images compare the classification and localization rates for all algorithms discussed in the dissertation and show a very good performance of the system in a real world environment.
- By (author) Marcin Grzegorzek
Other Titles in this Series
Statistical iterative reconstruction and dose reduction in multi-slice computed tomography
Volume 49
3-D Imaging of the Heart Chambers with C-arm CT. 3D-Bildgebung der Herzkammern mit C-Bogen-CT
Volume 38
Machine Learning in Advanced Driver-Assistance Systems
Contributions to Pedestrian Detection and Adversarial Modeling
Volume 47
Similar Books
![Book cover: Transitive Media [Philosophy]](https://isd.stisonbooks.com/images/books/native/9781804132326.jpg?asset_id=66970)
Care in an Era of New Technologies and Artificial Intelligence
Relationships in a Connected World
Volume 14
Buchblogs zwischen Passion und Profession
Zur Diskursivierung digitaler literaturbezogener Anschlusskommunikation als Arbeit
Die Einführung ins richtige Handeln in der Arithmetik (Madḫal ar-rašad ilā ʿilm al-ʿadad) von al-Qalaṣādī (st. 1486)
Bearbeitung und Einordnung in die maġribinische Mathematikgeschichte
Volume 19
Digitale Medien und Religionsunterricht
Ein domänenspezifischer Beitrag zu einer kritischen Medienbildung unter Berücksichtigung medien-, bildungs- und lerntheoretischer Perspektiven
Ein Glucksritter als Wegbereiter der Motorisierung
Der Basler Kaufmann Eduard Burckhardt (1847-1897)
Partizipative Produktentwicklung in der Modeindustrie
Methoden, Vorgehensmodelle und ihre Anwendung in der Wertschöpfung smarter Outdoorbekleidung
Heterarchical Production Planning and Control Architectures in the Context of Industry 4.0
Complexity-based Selection and Guidance for Implementation
Volume 67
Proceedings of the 7th Symposium of the Hellenic Society for Archaeometry
Archaeology Archaeometry: 30 Years Later
I disegni e i discorsi di Giovanni Antonio Nigrone vol. I
fontanaro e ingegniero de acqua (1585-1609 ca.)
Volume 481
I disegni e i discorsi di Giovanni Antonio Nigrone vol. II
Fontanaro e ingegniero de acqua (1585-1609 ca.)
Volume 497
