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Image and Vision Computing
Butterworth-Heinemann
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1-8 of 8 reviews
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Robust visual tracking via augmented kernel SVM
Bai Y., Tang M. Image and Vision Computing 32(8): 465-475, 2014. Type: Article
Object tracking in videos (image sequences) is an important computer vision task with many different applications, including intelligent robots and vehicles, augmented reality, entertainment, scientific and industrial applications, and...
Mar 3 2015
Human skeleton tracking from depth data using geodesic distances and optical flow
Schwarz L., Mkhitaryan A., Mateus D., Navab N. Image and Vision Computing 30(3): 217-226, 2012. Type: Article
Tracking the full body of a human from intensity images is a challenging task because appearance-based features vary widely with illumination and changes of pose. To overcome this problem, the authors of this paper propose a graph-base...
Aug 26 2013
Homeomorphic manifold analysis (HMA): generalized separation of style and content on manifolds
Elgammal A., Lee C. Image and Vision Computing 31(4): 291-310, 2013. Type: Article
This paper addresses an important and challenging current problem in computer vision. To fully understand observed real-world motion (human or otherwise), it is advantageous to try to decompose the content (for example, an individual&a...
Jun 19 2013
Properties, implementations and applications of rank filters
Hodgson R., Bailey D., Naylor M., Ng A., McNeill S. Image and Vision Computing 3(1): 3-14, 1985. Type: Article
Rank filters are nonlinear, local operators that operate on a neighborhood of pixels to generate each output pixel. The pixel values in the window are ranked (sorted) according to numerical value, regardless of their physical location ...
Apr 1 1986
Efficient planar convex hull algorithm
Handley C. Image and Vision Computing 3(1): 29-35, 1985. Type: Article
A new algorithm called the Chull algorithm, for computing the convex hull of a planar set of points, is presented. This algorithm is an improved version of a previous algorithm--the Hull algorithm....
Dec 1 1985
Three-dimensional hidden-surface removal for signal-return modelling: experimental results
Duncan R. Image and Vision Computing 3(1): 24-28, 1985. Type: Article
This work describes a method for hidden surface removal and reports results obtained from an implementation of the method. The method was originally designed for the purpose of modeling radar cross-sections. Objects are modeled as a se...
Sep 1 1985
Implicit convolution
Gourlay A. Image and Vision Computing 3(1): 15-23, 1985. Type: Article
Conclusions are drawn regarding the applicability of using a partial differential equation solution over a two dimensional space or a digital image. A first level generalized solution is presented, and an additional reduction in comple...
Sep 1 1985
Three-dimensional surface mapping simulator: theory, capabilities and operation
Schalkoff R., Labuz J. Image and Vision Computing 3(1): 36-39, 1985. Type: Article
An implementation of a “surface mapping simulator” is described. The inputs to this program are as follows:...
Aug 1 1985
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