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Converting Static Image Datasets to

by Michael Pfeiffer, Sio Hoi Ieng, Bernabe Linares-barranco, Garrick Orchard, Orchard G, Jayawant A, Cohen Gk, Garrick Orchard, Ajinkya Jayawant, Gregory K. Cohen, Nitish Thakor , 2015
"... This article was submitted to ..."
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Activation in human MT/MST for static images with implied motion

by Zoe Kourtzi, Nancy Kanwisher - Journal of Cognitive Neuroscience , 2000
"... & A still photograph of an object in motion may convey dynamic information about the position of the object immediately before and after the photograph was taken (implied motion). Medial temporal/medial superior temporal cortex (MT/MST) is one of the main brain regions engaged in the perceptual ..."
Abstract - Cited by 160 (5 self) - Add to MetaCart
analysis of visual motion. In two experiments we examined whether MT/MST is also involved in representing implied motion from static images. We found stronger functional magnetic resonance imaging (fMRI) activation within MT/MST during viewing of static photographs with implied motion compared to viewing

CONDENSATION -- conditional density propagation for visual tracking

by Michael Isard, Andrew Blake , 1998
"... The problem of tracking curves in dense visual clutter is challenging. Kalman filtering is inadequate because it is based on Gaussian densities which, being unimodal, cannot represent simultaneous alternative hypotheses. The Condensation algorithm uses “factored sampling”, previously applied to th ..."
Abstract - Cited by 1503 (12 self) - Add to MetaCart
to the interpretation of static images, in which the probability distribution of possible interpretations is represented by a randomly generated set. Condensation uses learned dynamical models, together with visual observations, to propagate the random set over time. The result is highly robust tracking of agile motion

Contour Tracking By Stochastic Propagation of Conditional Density

by Michael Isard, Andrew Blake , 1996
"... . In Proc. European Conf. Computer Vision, 1996, pp. 343--356, Cambridge, UK The problem of tracking curves in dense visual clutter is a challenging one. Trackers based on Kalman filters are of limited use; because they are based on Gaussian densities which are unimodal, they cannot represent s ..."
Abstract - Cited by 661 (23 self) - Add to MetaCart
Density Propagation over time. It uses `factored sampling', a method previously applied to interpretation of static images, in which the distribution of possible interpretations is represented by a randomly generated set of representatives. The Condensation algorithm combines factored sampling

Light Field Rendering

by Marc Levoy , Pat Hanrahan , 1996
"... A number of techniques have been proposed for flying through scenes by redisplaying previously rendered or digitized views. Techniques have also been proposed for interpolating between views by warping input images, using depth information or correspondences between multiple images. In this paper, w ..."
Abstract - Cited by 1337 (22 self) - Add to MetaCart
A number of techniques have been proposed for flying through scenes by redisplaying previously rendered or digitized views. Techniques have also been proposed for interpolating between views by warping input images, using depth information or correspondences between multiple images. In this paper

Human upper body pose estimation in static images

by Mun Wai Lee, Isaac Cohen - In ECCV , 2004
"... Abstract. Estimating human pose in static images is challenging due to the high dimensional state space, presence of image clutter and ambiguities of image observations. We present an MCMC framework for estimating 3D human upper body pose. A generative model, comprising of the human articulated stru ..."
Abstract - Cited by 31 (0 self) - Add to MetaCart
Abstract. Estimating human pose in static images is challenging due to the high dimensional state space, presence of image clutter and ambiguities of image observations. We present an MCMC framework for estimating 3D human upper body pose. A generative model, comprising of the human articulated

Nonparametric model for background subtraction

by Ahmed Elgammal, David Harwood, Larry Davis - in ECCV ’00 , 2000
"... Abstract. Background subtraction is a method typically used to seg-ment moving regions in image sequences taken from a static camera by comparing each new frame to a model of the scene background. We present a novel non-parametric background model and a background subtraction approach. The model can ..."
Abstract - Cited by 545 (17 self) - Add to MetaCart
Abstract. Background subtraction is a method typically used to seg-ment moving regions in image sequences taken from a static camera by comparing each new frame to a model of the scene background. We present a novel non-parametric background model and a background subtraction approach. The model

Relevance of multifractal textures in static images

by Antonio Turiel - in « Electronic Letters on Computer Vision and Image Analysis », number
"... In the latest years, multifractal analysis has been applied to image analysis. The multifractal framework takes advantage of multiscaling properties of images to decompose them as a collection of different fractal components, each one associated to a singularity exponent (an exponent characterizing ..."
Abstract - Cited by 4 (2 self) - Add to MetaCart
In the latest years, multifractal analysis has been applied to image analysis. The multifractal framework takes advantage of multiscaling properties of images to decompose them as a collection of different fractal components, each one associated to a singularity exponent (an exponent characterizing

Static Image and the Present Tense in English

by Mariko Higuchi
"... This paper aims to clarify the conceptual entity corresponding to the English Present Tense morpheme and to show that the form actually designates the static and imperfective image of a process that otherwise cannot be captured by the speaker's conception at precisely present ..."
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This paper aims to clarify the conceptual entity corresponding to the English Present Tense morpheme and to show that the form actually designates the static and imperfective image of a process that otherwise cannot be captured by the speaker's conception at precisely present

Sampling and interpolation of static images: a perceptual

by Marco Nijenhuis, Marco Reinirus, Maria Nijenhuis, Cip-gegevens Koninklijke Bibliotheek, Den Haag, Marco Reinirus Maria
"... Sampling and interpolation of static images: a perceptual view Cover: Giraffes in Masai Mara, Kenya. Let us ensure that nature remains available- and not just on video. Sampling and interpolation of static images: a perceptual view Proefschrift ter verkrijging van de graad van doctor aan de Technisc ..."
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Sampling and interpolation of static images: a perceptual view Cover: Giraffes in Masai Mara, Kenya. Let us ensure that nature remains available- and not just on video. Sampling and interpolation of static images: a perceptual view Proefschrift ter verkrijging van de graad van doctor aan de
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