Results 231 to 240 of about 108,873 (282)
Some of the next articles are maybe not open access.
Motion blur for motion segmentation
2013 IEEE International Conference on Image Processing, 2013In 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.
Chandramouli Paramanand +1 more
openaire +1 more source
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.
Shengyang Dai, Ying Wu 0001
openaire +1 more source
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.
Shengyang Dai, Ying Wu 0001
openaire +1 more source
Perception, 1997
The still-radii illusion, the figure-of-eight illusion, the band-of-heightened-intensity illusion and the dark-blurred-concentric-circles illusion have remained, until now, isolated relatively ill-explained phenomena. A single algorithmic model is proposed which explains these four visual illusions.
F, Gosselin, C, Lamontagne
openaire +2 more sources
The still-radii illusion, the figure-of-eight illusion, the band-of-heightened-intensity illusion and the dark-blurred-concentric-circles illusion have remained, until now, isolated relatively ill-explained phenomena. A single algorithmic model is proposed which explains these four visual illusions.
F, Gosselin, C, Lamontagne
openaire +2 more sources
Cartoon blur: nonphotorealistic motion blur
Proceedings Computer Graphics International 2003, 2004Motion 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'.
Yuya Kawagishi +2 more
openaire +1 more source
Motion Regularization for Matting Motion Blurred Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010This 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.
Hai Ting Lin +2 more
openaire +2 more sources
Demosaicking images with motion blur
2010 IEEE International Conference on Acoustics, Speech and Signal Processing, 2010In 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 demosaicking. Furthermore, the image is susceptible to blurring artifacts due to a moving camera or fast moving subject.
Shay Har-Noy +2 more
openaire +1 more source
Motion blur detection in radiographs
SPIE Proceedings, 2008Image blur introduced by patient motion is one of the most frequently cited reasons for image rejection in radiographic diagnostic imaging. The goal of the present work is to provide an automated method for the detection of anatomical motion blur in digital radiographic images to help improve image quality and facilitate workflow in the radiology ...
Hui Luo +5 more
openaire +1 more source
Motion blur disturbs – the influence of motion‐blurred images in photogrammetry
The Photogrammetric Record, 2014AbstractUnmanned 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
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
Makkena Purnachandra Rao +3 more
openaire +1 more source
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
Makkena Purnachandra Rao +3 more
openaire +1 more source
Restoration of motion blurred images
Proceedings of the 23rd Spring Conference on Computer Graphics, 2007Degradation of digital images is often caused by camera movement when a long exposition time is set. The blurred images can be enhanced by either iterative or non-iterative methods. From the non-iterative methods, Wiener reconstruction is often used. Iterative methods are slower in nature but usually better results can be achieved.
Michal Dobes, Libor Machala
openaire +1 more source