A novel method is proposed for matching articulated objects in cluttered videos. The method needs only a single exemplar image of the target object. Instead of using a small set o...
—Traditional optical flow algorithms rely on consecutive short-exposed images. In this work, we make use of an additional long-exposed image for motion field estimation. Long-e...
Anita Sellent, Martin Eisemann, Bastian Goldlü...
Abstract— We propose a system for human computer interaction via 3D hand movements, based on a combination of visual tracking and a cheap, off-the-shelf, accelerometer. We use a ...
Motion blur is a fundamental cue in the perception of objects in motion. This phenomenon manifests as a visible trail along the trajectory of the object and is the result of the c...
Recent technological advances in imaging industry have lead to the production of imaging systems with high density pixel sensors. However, their long exposure times limit their app...
Maria E. Angelopoulou, Christos-Savvas Bouganis, P...
Paul Haeberli and Kurt Akeley SiliconGraphicsComputerSystems This paper describes a system architecture that supports realtime generation of complex images, efficient generation o...
Motion blurs confound many computer vision problems. The fluttered shutter (FS) camera [1] tackles the motion deblurring problem by emulating invertible broadband blur kernels. How...
This paper deals with concealment of motion blur in image sequences. The approach is different from traditional methods, which attempt to deblur the image. Our approach utilizes t...
Abstract. This paper describes an approach to estimate the parameters of a motion blur (direction and length) directly form the observed image. The motion blur estimate can then be...
— Motion blur is a severe problem in images grabbed by legged robots and, in particular, by small humanoid robots. Standard feature extraction and tracking approaches typically f...
Alberto Pretto, Emanuele Menegatti, Maren Bennewit...