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Motion Blur Illusions Motion Blur Illusions

by Frédéric Gosselin, Claude Lamontagne
"... phenomena. A single algorithmic model is proposed which explains these four visual illusions. In fact, this model predicts phenomena produced by motion of any gray shaded patterns relative to the eyes (termed "Motion Blur Illusions"). Results of a computer simulation of the model a ..."
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phenomena. A single algorithmic model is proposed which explains these four visual illusions. In fact, this model predicts phenomena produced by motion of any gray shaded patterns relative to the eyes (termed "Motion Blur Illusions"). Results of a computer simulation of the model

Eulerian Motion Blur

by D. Ebert, S. Mérillou (editors, Doyub Kim, Hyeong-seok Ko
"... This paper describes a motion blur technique which can be applied to rendering fluid simulations that are carried out in the Eulerian framework. Existing motion blur techniques can be applied to rigid bodies, deformable solids, clothes, and several other kinds of objects, and produce satisfactory re ..."
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This paper describes a motion blur technique which can be applied to rendering fluid simulations that are carried out in the Eulerian framework. Existing motion blur techniques can be applied to rigid bodies, deformable solids, clothes, and several other kinds of objects, and produce satisfactory

MOTION BLUR ESTIMATION

by Felix Krahmer, Youzuo Lin, Bonnie Mcadoo, Katharine Ott, Jiakou Wang, David Widemann, Brendt Wohlberg (mentor, Felix Krahmer, Youzuo Lin, Bonnie Mcadoo, Katharine Ott, Jiakou Wang, David Widemann, Mentor Brendt Wohlberg , 2006
"... This report discusses methods for estimating linear motion blur. The blurred image is modeled as a convolution between the original image and an unknown point-spread function. The angle of motion blur is estimated using three different approaches. The first employs the cepstrum, the second a Gaussia ..."
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This report discusses methods for estimating linear motion blur. The blurred image is modeled as a convolution between the original image and an unknown point-spread function. The angle of motion blur is estimated using three different approaches. The first employs the cepstrum, the second a

The Nature of Motion Blur

by unknown authors
"... The removal of motion blur induced into images is currently an active eld of research. The analysis of motion de-blur algorithms has shown, that they perform di erently on synthetic and real motion blur. Therefore we have build an apperatus which allows us to produce pictures with de ned motion blur ..."
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The removal of motion blur induced into images is currently an active eld of research. The analysis of motion de-blur algorithms has shown, that they perform di erently on synthetic and real motion blur. Therefore we have build an apperatus which allows us to produce pictures with de ned motion

DEMOSAICKING IMAGESWITH MOTION BLUR

by Shay Har-noy, Stanley H. Chan, Truong Q. Nguyen
"... In standard digital color imaging, each pixel position acquires data for only one color plane and the remaining two color planes must be inferred through a process known as demo-saicking. Furthermore, the image is susceptible to blurring ar-tifacts due to a moving camera or fast moving subject. In t ..."
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. In this work we develop a robust framework to demosaick the color filter array (CFA) image while reducing the blur corrupting the image. We begin by defining a color motion blur model that describes the motion blur artifacts affecting color images. We then integrate the motion blur model in the demosaicking

Invertible motion blur in video

by Amit Agrawal, Yi Xu, Ramesh Raskar - ACM Trans. Graph , 2009
"... Figure 1: By simply varying the exposure time for video frames, multi-image deblurring can be made invertible. (Left) Varying exposure photos of a moving car. Notice the change in illumination and the blur size in the captured photos. (Right) The foreground object is automatically rectified, segment ..."
Abstract - Cited by 29 (2 self) - Add to MetaCart
, segmented, deblurred, and composed onto the background using the varying exposure video. Novel renderings, such as motion streaks, can be generated by linear combination of the deblurred image and the captured photos. We show that motion blur in successive video frames is invertible even if the point

RESTORATION OF MOTION BLURRED IMAGES

by Juwei Lu, Eunice Poon, K. N. Plataniotis
"... In this paper, we present several algorithms developed for restoration of motion blurred images. We begin with a singleimage based deblurring approach in the case of linear constant motion. This approach is a wavelet-based method with anovellp-norm regularization term. Due to the introduction of the ..."
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In this paper, we present several algorithms developed for restoration of motion blurred images. We begin with a singleimage based deblurring approach in the case of linear constant motion. This approach is a wavelet-based method with anovellp-norm regularization term. Due to the introduction

Interactive real-time motion blur

by Matthias M. Wloka, Robert C. Zeleznik - The Visual Computer , 1996
"... Motion blurring fast-moving objects is highly desirable for virtual environments and 3D user interfaces. However, all currently known algorithms to generate motion blur are too slow for inclusion in interactive 3D applications. We introduce a new motion blur algorithm that works in 3D on a per-objec ..."
Abstract - Cited by 15 (2 self) - Add to MetaCart
Motion blurring fast-moving objects is highly desirable for virtual environments and 3D user interfaces. However, all currently known algorithms to generate motion blur are too slow for inclusion in interactive 3D applications. We introduce a new motion blur algorithm that works in 3D on a per

image deconvolution: motion blur estimation

by Felix Krahmer, Youzuo Lin, Bonnie Mcadoo, Katharine Ott, Jiakou Wang, David Widemann, Mentor Brendt Wohlberg - University of Minnesota , 2006
"... This report discusses methods for estimating linear motion blur. The blurred image is modeled as a convolution between the original image and an unknown point-spread function. The angle of motion blur is estimated using three different approaches. The first employs the cepstrum, the second a Gaussia ..."
Abstract - Cited by 11 (0 self) - Add to MetaCart
This report discusses methods for estimating linear motion blur. The blurred image is modeled as a convolution between the original image and an unknown point-spread function. The angle of motion blur is estimated using three different approaches. The first employs the cepstrum, the second a

Visual tracking in the presence of motion blur

by Hailin Jin, Paolo Favaro, Roberto Cipolla - in CVPR’05 , 2005
"... We consider the problem of visual tracking of regions of interest in a sequence of motion blurred images. Traditional methods couple tracking with deblurring in order to correctly account for the effects of motion blur. Such coupling is usually appropriate, but computationally wasteful when visual t ..."
Abstract - Cited by 11 (0 self) - Add to MetaCart
We consider the problem of visual tracking of regions of interest in a sequence of motion blurred images. Traditional methods couple tracking with deblurring in order to correctly account for the effects of motion blur. Such coupling is usually appropriate, but computationally wasteful when visual
Results 1 - 10 of 1,092