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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...)": Date Reviewed
  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...

Jun 8 2009
  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:...

Dec 8 2008
  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....

Feb 19 2008
  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...

Jun 8 2007
  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....

Apr 25 2006
  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...

Nov 2 2005
  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 ...

Sep 7 2005
  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...

Jul 7 2005
  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....

Apr 21 2005
  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....

Aug 8 2003
 
 
 
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