We present a family of "normal" distributions over a matrix group together with a simple method for estimating its parameters. In particular, the mean of a set of elements can be calculated. The approach is applied to planar projective homographies, showing that using priors defined in this way improves object recognition.
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http://dx.doi.org/10.1109/TPAMI.2005.200 | DOI Listing |
Sensors (Basel)
June 2019
Northeast Network of Biotechnology (RENORBIO), Postgraduate Program in Biotechnology, Health Sciences Center, Federal University of Espirito Santo (UFES), Av. Marechal Campos, 1468, Vitoria-ES 29043-900, Brazil.
Child-Robot Interaction (CRI) has become increasingly addressed in research and applications. This work proposes a system for emotion recognition in children, recording facial images by both visual (RGB-red, green and blue) and Infrared Thermal Imaging (IRTI) cameras. For this purpose, the Viola-Jones algorithm is used on color images to detect facial regions of interest (ROIs), which are transferred to the thermal camera plane by multiplying a homography matrix obtained through the calibration process of the camera system.
View Article and Find Full Text PDFMed Phys
June 2018
Department of Radiation Oncology, Osaka University Graduate School of Medicine, 2-2 (D10), Yamadaoka, Suita, Osaka, 565-0871, Japan.
Purpose: The Synchrony™ Respiratory Tracking System of the CyberKnife Robotic Radiosurgery System (Accuray, Inc., Sunnyvale, CA, USA) enables real-time tracking of moving targets such as lung and liver tumors during radiotherapy. Although film measurements have been used for quality assurance of the tracking system, they cannot evaluate the temporal tracking accuracy.
View Article and Find Full Text PDFIEEE Trans Image Process
November 2016
To enrich large-scale visual analytics applications enabled by aerial wide area motion imagery (WAMI), we propose a novel methodology for accurately registering a geo-referenced vector roadmap to WAMI by using the locations of detected vehicles and determining a parametric transform that aligns these locations with the network of roads in the roadmap. Specifically, the problem is formulated in a probabilistic framework, explicitly allowing for spurious detections that do not correspond to on-road vehicles. The registration is estimated via the expectation-maximization (EM) algorithm as the planar homography that minimizes the sum of weighted squared distances between the homography-mapped detection locations and the corresponding closest point on the road network, where the weights are estimated posterior probabilities of detections being on-road vehicles.
View Article and Find Full Text PDFGait recognition can potentially provide a noninvasive and effective biometric authentication from a distance. However, the performance of gait recognition systems will suffer in real surveillance scenarios with multiple interacting individuals and where the camera is usually placed at a significant angle and distance from the floor. We present a methodology for view-invariant monocular 3-D human pose tracking in man-made environments in which we assume that observed people move on a known ground plane.
View Article and Find Full Text PDFIEEE Trans Pattern Anal Mach Intell
April 2012
School of Computer Science, The University of Adelaide, Australian Center for Visual Technologies (ACVT), North Terrace 5005, SA, Australia.
Random hypothesis generation is integral to many robust geometric model fitting techniques. Unfortunately, it is also computationally expensive, especially for higher order geometric models and heavily contaminated data. We propose a fundamentally new approach to accelerate hypothesis sampling by guiding it with information derived from residual sorting.
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