Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Linear Scale-Space Theory from Physical Principles
Journal of Mathematical Imaging and Vision
Blobworld: Image Segmentation Using Expectation-Maximization and Its Application to Image Querying
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Dynamic Scale–Space Paradigm
Journal of Mathematical Imaging and Vision
Local Discriminant Regions Using Support Vector Machines for Object Recognition
Proceedings of the Joint IAPR International Workshops on Advances in Pattern Recognition
A Formal-Physical Agenda for Recognition
Shape, Contour and Grouping in Computer Vision
Generic Model Abstraction from Examples
Revised Papers from the International Workshop on Sensor Based Intelligent Robots
Affine invariant descriptors for color images using Fourier series
Pattern Recognition Letters
Generic Model Abstraction from Examples
IEEE Transactions on Pattern Analysis and Machine Intelligence
Simultaneous Object Recognition and Segmentation from Single or Multiple Model Views
International Journal of Computer Vision
Learning semantic object parts for object categorization
Image and Vision Computing
Robust Object Detection with Interleaved Categorization and Segmentation
International Journal of Computer Vision
Local invariant feature detectors: a survey
Foundations and Trends® in Computer Graphics and Vision
Predictive visual context in object detection
CONTEXT'03 Proceedings of the 4th international and interdisciplinary conference on Modeling and using context
Fast and automatic object pose estimation for range images on the GPU
Machine Vision and Applications - Integrated Imaging and Vision Techniques for Industrial Inspection
Cue integration through discriminative accumulation
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Learning invariant structure for object identification by using graph methods
Computer Vision and Image Understanding
Semantics extraction from images
Knowledge-driven multimedia information extraction and ontology evolution
Text-image interaction for image retrieval and semi-automatic indexing
IRSG'98 Proceedings of the 20th Annual BCS-IRSG conference on Information Retrieval Research
| Hi-index | 0.00 |
This paper addresses the problem of recognizing objects in large image databases. The method is based on local characteristics which are invariant to similarity transformations in the image. These characteristics are computed at automatically detected keypoints using the greyvalue signal. The method therefore works on images such as paintings for which geometry based recognition fails.Due to the locality of the method, images can be recognized being given part of an image and in the presence of occlusions. Applying a voting algorithm and semi-local constraints makes the method robust to noise, scene clutter and small perspective deformations. Experiments show an efficient recognition for different types of images. The approach has been validated on an image database containing 1020 images, some of them being very similar by structure, texture or shape.