Fundamentals of speech recognition
Fundamentals of speech recognition
Shape quantization and recognition with randomized trees
Neural Computation
Shape Indexing Using Approximate Nearest-Neighbour Search in High-Dimensional Spaces
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Real-Time Simultaneous Localisation and Mapping with a Single Camera
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
ACM SIGGRAPH 2003 Sketches & Applications
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Scene Modelling, Recognition and Tracking with Invariant Image Features
ISMAR '04 Proceedings of the 3rd IEEE/ACM International Symposium on Mixed and Augmented Reality
Random Subwindows for Robust Image Classification
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Matching with PROSAC " Progressive Sample Consensus
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Randomized Trees for Real-Time Keypoint Recognition
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
A Comparison of Affine Region Detectors
International Journal of Computer Vision
Keypoint Recognition Using Randomized Trees
IEEE Transactions on Pattern Analysis and Machine Intelligence
Monocular model-based 3D tracking of rigid objects
Foundations and Trends® in Computer Graphics and Vision
Efficient Tracking as Linear Program on Weak Binary Classifiers
Proceedings of the 30th DAGM symposium on Pattern Recognition
Adaptive weighting of local classifiers by particle filters for robust tracking
Pattern Recognition
Semi-Autonomous Generation of Appearance-based Edge Models from Image Sequences
ISMAR '07 Proceedings of the 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality
Adjusted pixel features for robust facial component classification
Image and Vision Computing
Learning Real-Time Perspective Patch Rectification
International Journal of Computer Vision
PWP3D: Real-Time Segmentation and Tracking of 3D Objects
International Journal of Computer Vision
2D Articulated Human Pose Estimation and Retrieval in (Almost) Unconstrained Still Images
International Journal of Computer Vision
Dynamic objectness for adaptive tracking
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
Learning structured visual dictionary for object tracking
Image and Vision Computing
Object tracking using learned feature manifolds
Computer Vision and Image Understanding
Robust object tracking using enhanced random ferns
The Visual Computer: International Journal of Computer Graphics
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We propose a fast approach to 3–D object detection and pose estimation that owes its robustness to a training phase during which the target object slowly moves with respect to the camera. No additional information is provided to the system, save a very rough initialization in the first frame of the training sequence. It can be used to detect the target object in each video frame independently. Our approach relies on a Randomized Tree-based approach to wide-baseline feature matching. Unlike previous classification-based appro- aches to 3–D pose estimation, we do not require an a priori 3–D model. Instead, our algorithm learns both geometry and appearance. In the process, it collects, or harvests, a list of features that can be reliably recognized even when large motions and aspect changes cause complex variations of feature appearances. This is made possible by the great flexibility of Randomized Trees, which lets us add and remove feature points to our list as needed with a minimum amount of extra computation.