Verification vision within a programmable assembly system.
Verification vision within a programmable assembly system.
Understanding objects from slices: extracting generalised cylinder descriptions from serial sections.
Detection of Ellipses by a Modified Hough Transformation
IEEE Transactions on Computers
Robust and efficient automated detection of tooling defects in polished stone
Computers in Industry
Flow separation for fast and robust stereo odometry
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Probabilistic structure matching for visual SLAM with a multi-camera rig
Computer Vision and Image Understanding
Camera Network Calibration and Synchronization from Silhouettes in Archived Video
International Journal of Computer Vision
Interest point characterisation through textural analysis for rejection of bad correspondences
Pattern Recognition Letters
Multi-sensor registration for objects motion detection
Proceedings of the first ACM international workshop on Analysis and retrieval of tracked events and motion in imagery streams
Line maps in cluttered environments
MICAI'10 Proceedings of the 9th Mexican international conference on Advances in artificial intelligence: Part I
Scene parsing using a prior world model
International Journal of Robotics Research
Robotics and Autonomous Systems
Direct solutions for computing cylinders from minimal sets of 3d points
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Analytic Curve Skeletons for 3D Surface Modeling and Processing
Computer Graphics Forum
How to localize humanoids with a single camera?
Autonomous Robots
Eating activity detection from images acquired by a wearable camera
Proceedings of the 4th International SenseCam & Pervasive Imaging Conference
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General principles for fitting models to data containing "gross" errors in addition to "measurement" errors are presented A fitting technique is described and illustrated by its application to the problem of locating cylinders in range data, two key steps in this process arc fitting ellipses to partial data and fitting lines to sets of three-dimensional points The technique is specifically designed to filter out gross errors before applying a smoothing procedure to compute a precise model Such a technique is particularly applicable to computer vision tasks because the data in these tasks arc often produced by local computations that are inherently unreliable.