International Journal of Computer Vision
Artificial Intelligence - Special volume on computer vision
Local Grayvalue Invariants for Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Algorithm for Finding Best Matches in Logarithmic Expected Time
ACM Transactions on Mathematical Software (TOMS)
Object Recognition Using Multidimensional Receptive Field Histograms
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
Gray Scale and Rotation Invariant Texture Classification with Local Binary Patterns
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part I
Invariant Features for Gray Scale Images
Mustererkennung 1995, 17. DAGM-Symposium
Object-based queries using color points of interest
CBAIVL '01 Proceedings of the IEEE Workshop on Content-based Access of Image and Video Libraries (CBAIVL'01)
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Hi-index | 0.00 |
This paper investigates the use of local descriptors that are based on integral invariants for the purpose of object recognition in cluttered scenes. Integral invariants capture the local structure of the neighborhood around the points where they are computed. This makes them very well suited for constructing highly-discriminative local descriptors. The features are by definition invariant to Euclidean motion. We show how to extend the local features to be scale invariant. Regarding the robustness to intensity changes, two types of kernels used for extracting the feature vectors are investigated. The effect of the feature vector dimensionality and the performance in the presence of noise are also examined. Promising results are obtained using a dataset that contains instances of objects that are viewed in difficult situations that include clutter and occlusion.