IEEE Transactions on Pattern Analysis and Machine Intelligence
Example-Based Object Detection in Images by Components
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unsupervised Learning of Models for Recognition
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part I
Maximum Entropy and Gaussian Models for Image Object Recognition
Proceedings of the 24th DAGM Symposium on Pattern Recognition
Selection of Scale-Invariant Parts for Object Class Recognition
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Enhancements for Local Feature Based Image Classification
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Object Recognition Using Segmentation for Feature Detection
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
Local Context in Non-Linear Deformation Models for Handwritten Character Recognition
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
Discriminative Training for Object Recognition Using Image Patches
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
International Journal of Computer Vision
Robust Object Detection with Interleaved Categorization and Segmentation
International Journal of Computer Vision
Kernel Methods in Computer Vision
Foundations and Trends® in Computer Graphics and Vision
Discriminative Generalized Hough transform for localization of joints in the lower extremities
Computer Science - Research and Development
Iterative training of discriminative models for the generalized hough transform
MCV'10 Proceedings of the 2010 international MICCAI conference on Medical computer vision: recognition techniques and applications in medical imaging
Sparse patch-histograms for object classification in cluttered images
DAGM'06 Proceedings of the 28th conference on Pattern Recognition
The 2005 PASCAL visual object classes challenge
MLCW'05 Proceedings of the First international conference on Machine Learning Challenges: evaluating Predictive Uncertainty Visual Object Classification, and Recognizing Textual Entailment
FIRE in ImageCLEF 2005: combining content-based image retrieval with textual information retrieval
CLEF'05 Proceedings of the 6th international conference on Cross-Language Evalution Forum: accessing Multilingual Information Repositories
Stripe: image feature based on a new grid method and its application in ImageCLEF
AIRS'06 Proceedings of the Third Asia conference on Information Retrieval Technology
| Hi-index | 0.00 |
In this paper we extend a method that uses image patch histograms and discriminative training to recognize objects in cluttered scenes. The method generalizes and performs well for different tasks, e.g. for radiograph recognition and recognition of objects in cluttered scenes. Here, we further investigate this approach and propose several extensions. Most importantly, the method is substantially improved by adding multi-scale features so that it better accounts for objects of different sizes. Other extensions tested include the use of Sobel features, the generalization of histograms, a method to account for varying image brightness in the PCA domain, and SVMs for classification. The results are improved significantly, i.e. on average we have a 59% relative reduction of the error rate and we are able to obtain a new best error rate of 1.1% on the Caltech motorbikes task.