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Browse All Reviews > Computing Methodologies (I) > Image Processing And Computer Vision (I.4) > Scene Analysis (I.4.8) > Motion (I.4.8...)
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1-10 of 13
Reviews about "Motion (I.4.8...)":
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SBA: a software package for generic sparse bundle adjustment Lourakis M., Argyros A. ACM Transactions on Mathematical Software 36(1): 1-30, 2009. Type: Article
Lourakis and Argyros address the common problem of bundle adjustment that is traditionally associated with--and is an imperative component of--three-dimensional (3D) scene reconstruction. In this context, bundle adjus...
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Jun 8 2009 |
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Human motion: understanding, modelling, capture, and animation (Computational Imaging and Vision) Rosenhahn B., Klette R., Metaxas D., Springer, 2007. Type: Book
The interest in human motion goes back very far in human history:...
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Dec 8 2008 |
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Joint estimation of motion and radiometry of rotating camera for HDR global mosaic Kim D., Hong K. Pattern Analysis & Applications 10(3): 215-234, 2007. Type: Article
The problem addressed in this paper is that of mosaicking multiple camera images when the camera is rotating from a fixed tripod location, particularly where large rotations are involved....
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Feb 19 2008 |
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A new motion detection algorithm based on &Sgr;-Δ background estimation Manzanera A., Richefeu J. Pattern Recognition Letters 28(3): 320-328, 2007. Type: Article
This paper proposes an algorithm for motion detection with the assumption of a still camera. Sigma-delta filtering is applied to measure the motion likelihood of each pixel. Then, the variation rate and temporal activity are calculated...
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Jun 8 2007 |
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Silhouette-based motion capture for interactive VR-systems including a rear projection screen: motion capture and retrieval Thüring S., Herwig J., Schmitt A. Computer Animation and Virtual Worlds 16(3-4): 245-257, 2005. Type: Article
The authors describe a camera-based tracking system for immersive displays where users are interacting with a virtual environment in front of a projection screen....
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Apr 25 2006 |
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Machine vision: theory, algorithms, practicalities Davies E., Morgan Kaufmann Publishers Inc., San Francisco, CA, 2005. 934 pp. Type: Book (9780122060939)
Enabling computers and other machines to process and understand optical sensory input is a problem that has seen a great deal of activity in both research and industry for several decades; it is one of the more important and active res...
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Nov 2 2005 |
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The least-squares error for structure from infinitesimal motion Oliensis J. International Journal of Computer Vision 61(3): 259-299, 2005. Type: Article
This paper provides an extensive and very thorough treatment of the estimation question for the structure for motion (SFM) problem. The estimation study is based on least-squares error estimation for a single infinitesimal motion. The ...
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Sep 7 2005 |
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Multiple cortical representations of optic flow processing Raffi M., Siegel R. In Optic flow and beyond. Norwell, MA: Kluwer Academic Publishers, 2004. Type: Book Chapter
Raffi and Siegel define optic flow as the visual perception of the motion of the viewer. This perception is caused by the expansion or contraction of visual fields projected on the retina. As one moves toward an object, the visual fiel...
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Jul 7 2005 |
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Video shot characterization Osian M., Van Gool L. Machine Vision and Applications 15(3): 172-177, 2004. Type: Article
These days, hundreds of television channels broadcast 24 hours a day, every day of the year. It is necessary to create automatic systems to handle and organize this huge amount of video sequences....
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Apr 21 2005 |
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Motion segmentation and pose recognition with motion history gradients Bradski G., Davis J. Machine Vision and Applications 13(3): 174-184, 2002. Type: Article
An algorithm is presented in this research paper for estimating the pose and motion of objects of interest. The method focuses on delivering motion regions that are connected with the mobile parts of objects, such as humans....
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Aug 8 2003 |
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