Results 361 to 370 of about 5,580,472 (385)

Computer vision for computer games

Proceedings of the Second International Conference on Automatic Face and Gesture Recognition, 2002
The appeal of computer games may be enhanced by vision-based user inputs. The high speed and low cost requirements for near-term, mass-market game applications make system design challenging. The response time of the vision interface should be less than a video frame time and the interface should cost less than $50 U.S.
Kenichi Tanaka, William T. Freeman, Jun Ohta, Kazuo Kyuma   +3 more
openaire   +2 more sources

PROPAGATING COVARIANCE IN COMPUTER VISION

International Journal of Pattern Recognition and Artificial Intelligence, 1996
This paper describes how to propagate approximately additive random perturbations through any kind of vision algorithm step in which the appropriate random perturbation model for the estimated quantity produced by the vision step is also an additive random perturbation.
openaire   +3 more sources

Computer Vision Methodologies

CVGIP: Image Understanding, 1994
Abstract In this paper we address the problem of methodologies for computer vision. In the first part we will present a brief survey of the Marr paradigm, e.g., what David Marr called his philosophy. We will emphasize the sequence of hypotheses which progressively makes the scene recovery approach explicit as well as the limitations of this approach.
openaire   +2 more sources

Computer vision for ambient intelligence

Journal of Ambient Intelligence and Smart Environments, 2011
A natural way of conceptualizing ambient intelligence is by picturing an active environment with access to perceptual input, not via eyes and ears, but by their technological counterparts. Computer vision is an essential part of building context-aware environments that adapt and anticipate their human users by understanding their behavior.
A. A. Salah, T.h. Gevers, Sebe, Niculae, A. Vinciarelli   +3 more
openaire   +5 more sources

Discrete optimization in computer vision

Computer Vision and Image Understanding, 2008
International ...
Paragios, Nikos, Ramin, Zabih
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Computational vision and regularization theory

Nature, 1985
Descriptions of physical properties of visible surfaces, such as their distance and the presence of edges, must be recovered from the primary image data. Computational vision aims to understand how such descriptions can be obtained from inherently ambiguous and noisy data.
Poggio, Tomaso, Torre, Vincent, Koch, Christof   +2 more
openaire   +4 more sources

Quaternions in Computer Vision and Robotics

1982
Computer Science ...
Edward Pervin, Jon A. Webb
openaire   +2 more sources

Computer Vision

1995
Publisher Summary This chapter provides an overview of computer vision. The chapter begins with defining digital image as an array of numbers called greyscales associated with an image. Each of the cells in a digital image is called a picture element or pixel. Usually the greyscales are interpreted in terms of brightness: pixels with large numbers are
Jeffrey Johnson, Philip Picton
openaire   +2 more sources

Computer vision vs. human vision

9th IEEE International Conference on Cognitive Informatics (ICCI'10), 2010
In object recognition (classification), it was known that the human brain processes visual information in semantic space mainly, that is, extracting the semantically meaningful features such as line-segments, boundaries, shape and so on. But by recent information processing techniques, these kinds of features cannot be detected by computers robustly so
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Learning OpenCV---Computer Vision with the OpenCV Library (Bradski, G.R. et al.; 2008)[On the Shelf]

IEEE robotics & automation magazine, 2009
A. Zelinsky
semanticscholar   +1 more source