Comutations underlying the measuremnt of visual motion.
Artificial Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
The image flow constraint equation
Computer Vision, Graphics, and Image Processing
Derivation of optical flow using a spatiotemporal-frequency approach
Computer Vision, Graphics, and Image Processing
An Operator Which Locates Edges in Digitized Pictures
Journal of the ACM (JACM)
Boundary and Object Detection in Real World Images
Journal of the ACM (JACM)
Image Sequence Processing and Dynamic Analysis
Image Sequence Processing and Dynamic Analysis
Finding Edges and Lines in Images
Finding Edges and Lines in Images
On Optimal Infinite Impulse Response Edge Detection Filters
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Autonomous Active Vision System for Complete and Accurate 3D Scene Reconstruction
International Journal of Computer Vision
Real-Time Tracking of Moving Persons by Exploiting Spatio-Temporal Image Slices
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multimodal Estimation of Discontinuous Optical Flow using Markov Random Fields
IEEE Transactions on Pattern Analysis and Machine Intelligence
Subpixel estimation of normal displacements along contours using MRF-models
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol.2)-Volume 2 - Volume 2
Multiple motion analysis: in spatial or in spectral domain?
Computer Vision and Image Understanding
A real-time tracker for markerless augmented reality
ISMAR '03 Proceedings of the 2nd IEEE/ACM International Symposium on Mixed and Augmented Reality
Combining Edge and Texture Information for Real-Time Accurate 3D Camera Tracking
ISMAR '04 Proceedings of the 3rd IEEE/ACM International Symposium on Mixed and Augmented Reality
Real-Time Markerless Tracking for Augmented Reality: The Virtual Visual Servoing Framework
IEEE Transactions on Visualization and Computer Graphics
Kinematic sets for real-time robust articulated object tracking
Image and Vision Computing
Real-time Hybrid Tracking using Edge and Texture Information
International Journal of Robotics Research
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing
Occlusion Boundaries from Motion: Low-Level Detection and Mid-Level Reasoning
International Journal of Computer Vision
Local detection of occlusion boundaries in video
Image and Vision Computing
ICCVG 2008 Proceedings of the International Conference on Computer Vision and Graphics: Revised Papers
Robust Pose Estimation for Outdoor Mixed Reality with Sensor Fusion
UAHCI '09 Proceedings of the 5th International Conference on Universal Access in Human-Computer Interaction. Part III: Applications and Services
Proceedings of the 16th ACM Symposium on Virtual Reality Software and Technology
In vivo comparison of real-time tracking algorithms for interventional flexible endoscopy
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
3D model based pose estimation for omnidirectional stereovision
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
3D model based tracking for omnidirectional vision: A new spherical approach
Robotics and Autonomous Systems
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The determination of moving edges in an image sequence is discussed. An approach is proposed that relies on modeling principles and likely hypothesis testing techniques. A spatiotemporal edge in an image sequence is modeled as a surface patch in a 3-D spatiotemporal space. A likelihood ratio test enables its detection as well as simultaneous estimation of its related attributes. It is shown that the computation of this test leads to convolving the image sequence with a set of predetermined masks. The emphasis is on a restricted but widely relevant and useful case of surface patch, namely the planar one. In addition, an implementation of the procedure whose computation cost is merely equivalent to a spatial gradient operator is presented. This method can be of interest for motion-analysis schemes, not only for supplying spatiotemporal segmentation, but also for extracting local motion information. Moreover, it can cope with occlusion contours and important displacement magnitude. Experiments have been carried out with both synthetic and real images.