This paper addresses the problem of 3D surface reconstruction using image sequences. It has been shown that shape recovery from three or more occluding contours of the surface is p...
The recovery of 3D shape and camera motion for non-rigid scenes from single-camera video footage is a very important problem in computer vision. The low-rank shape model consists ...
Most approaches to camera motion estimation from image sequences require matching the projections of at least 4 non-coplanar points in the scene. The case of points lying on a plan...
In this paper we present a novel way of creating mosaics from an MPEG video sequence. Two original aspects of our work are that (1) we explicitly compute camera motion between fra...
Ryan C. Jones, Daniel DeMenthon, David S. Doermann
This paper describes a practical system developed for generating 3D models of human heads from silhouettes alone. The input to the system is an image sequence acquired from circula...
We present a deblurring algorithm that uses a hardware attachment coupled with a natural image prior to deblur images from consumer cameras. Our approach uses a combination of ine...
Neel Joshi, Sing Bing Kang, C. Lawrence Zitnick, R...
The topic of the paper is to estimate parameters of the camera motion using images taken at initial and current positions of the camera. An original method handling defocused imag...
To exploit rich content embedded in a single photograph, a system named Photo2Video was developed to automatically convert a photographic series into a video by simulating camera ...
This paper presents a new approach for continuous tracking of moving objects observed by multiple, heterogeneous cameras. Our approach simultaneously processes video streams from ...
Abstract. We present a novel single image deblurring method to estimate spatially non-uniform blur that results from camera shake. We use existing spatially invariant deconvolution...