Results 231 to 240 of about 107,993 (282)
Some of the next articles are maybe not open access.

Cartoon blur: nonphotorealistic motion blur

Proceedings Computer Graphics International 2003, 2004
Motion blur is a well-established technique which prevents strobing by making fast moving objects appear blurred. In cel animation however, different methods are used and we present a new technique to emphasise the motion of cartoon objects through the application of geometry. We term the involved nonphotorealistic motion blur as 'cartoon blur'.
Y. Kawagishi, K. Hatsuyama, K. Kondo
openaire   +1 more source

Motion Regularization for Matting Motion Blurred Objects

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010
This paper addresses the problem of matting motion blurred objects from a single image. Existing single image matting methods are designed to extract static objects that have fractional pixel occupancy. This arises because the physical scene object has a finer resolution than the discrete image pixel and therefore only occupies a fraction of the pixel.
Lin, HT, Tai, YW Tai, Yu-Wing, Brown, MS
openaire   +2 more sources

Motion from blur

2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008
Motion blur retains some information about motion, based on which motion may be recovered from blurred images. This is a difficult problem, as the situations of motion blur can be quite complicated, such as they may be space-variant, nonlinear, and local.
null Shengyang Dai, null Ying Wu
openaire   +1 more source

Camouflaging Motion Blur

Proceedings of the 2014 Indian Conference on Computer Vision Graphics and Image Processing, 2014
Camouflaging an object in a photograph is normally performed with the intent of unnoticeably hiding it within a given image. In this work, we give a different dimension to this problem and raise the interesting issue of camouaging motion blur with special relevance to non-uniformly blurred images. Given a blurred photograph, we apply a suitably derived
M. Purnachandra Rao   +3 more
openaire   +1 more source

Motion blur for motion segmentation

2013 IEEE International Conference on Image Processing, 2013
In this paper, we develop a method for motion segmentation using blur kernels. A blur kernel represents the apparent motion undergone by a scene point in the image plane. When the relative motion between the camera and scene is not restricted to fronto-parallel translations, the shape of the blur kernels can vary across image points.
C. Paramanand, A. N. Rajagopalan
openaire   +1 more source

Bayesian motion blur identification using blur priori

Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429), 2004
This paper presents a new approach to motion blur identification based on Bayesian paradigm and maximum a posteriori (MAP) method. To represent general spatial-invariant motion blurs, especially those caused by nonuniform and nonstraight motions, a new blur model is proposed by incorporating the knowledge of blur type or partially known motion shape as
null Xuezheng Liu   +3 more
openaire   +1 more source

Motion blur disturbs – the influence of motion‐blurred images in photogrammetry

The Photogrammetric Record, 2014
AbstractUnmanned aerial vehicles (UAVs) have become an interesting and active research topic for photogrammetry. Current research is based on images acquired by UAVs which have a high ground resolution and good spectral resolution due to low flight altitudes combined with a high‐resolution camera.
T. Sieberth, R. Wackrow, J. H. Chandler
openaire   +1 more source

14.2: Visible Motion Blur: A Perceptual Metric for Display Motion Blur

SID Symposium Digest of Technical Papers, 2010
Abstract We propose a perceptual metric of display motion blur that corresponds to the visibility of the artifact. It incorporates the visual sensitivity to contrast and spatial frequency, as well as masking effects.
Andrew B. Watson, Albert J. Ahumada
openaire   +1 more source

Motion blurred image restoration

2013 6th International Congress on Image and Signal Processing (CISP), 2013
The restoration of motion blurred images is a hot shot in the field of image processing. In this paper, The degradation model of motion blurred images is clarified, and the estimation of the PSF parameter as well as its algorithm is presented. Frequency spectrum and Radon transition are used for the length and angle calculation, then Wiener filtering ...
Shuai Jia, Jie Wen
openaire   +1 more source

Split second motion blur

ACM SIGGRAPH 2010 Talks, 2010
Motion blur is key to delivering a sense of speed in interactive video game rendering. Further, simulating accurate camera optical exposure properties and reduction of temporal aliasing brings us closer to high quality real-time rendering productions.
Matt Ritchie   +2 more
openaire   +1 more source

Home - About - Disclaimer - Privacy