In theory HDR photography generated from exposure sequences is limited to pictures of still scenes preferably taken with the camera mounted on a tripod. Current state-of-the-art HDR imaging software relaxes this limitation by aligning the pictures with affine transformations. However, two pictures cannot be aligned with a single affine transformation if objects in the scene move or the position...

Mosaic images provide an eecient representation of image sequences and simplify scene exploration and analysis. However, the application of conventional methods to generate mosaics of scenes with moving objects causes integration errors and a loss of dynamic information. In this paper a method to compute mosaics of dynamic scenes is presented addressing the above mentioned problems. Moving pixe...

In the field of 3-D image communication and virtual reality, it is very important to establish a method of displaying arbitrary views of a 3-D scene. It is sure that the 3-D geometric models of scene objects are very useful for this purpose, since computer graphics techniques can synthesize arbitrary views of the models. It is, however, not so easy to obtain the models of objects in the physica...

A wearable eye tracker was used to record photographers’ eye movements while they took digital photographs of person, sculpture, and interior scenes. Eye movement sequences were also recorded as the participants selected and cropped their images on a computer. Preliminary analysis revealed that during image capture people spend approximately the same amount of time looking at the camera regardl...

We present a new variational method for multi-view stereovision and non-rigid threedimensional motion estimation from multiple video sequences. Our method minimizes the prediction error of the estimated shape and motion. Both problems then translate into a generic image registration task. The latter is entrusted to a similarity measure chosen depending on imaging conditions and scene properties...

In this paper, we address the problem of the recovery of a realistic textured model of a scene from a sequence of images, without any prior knowledge either about the parameters of the cameras, or about their motion. We do not require any knowledge of the absolute coordinates of some control points in the scene to achieve this goal. First, using various computer vision tools, we establish corre...

‘Occurrence’ denotes a perceived element of a spatiotemporal development. In many languages, for example in English and German, occurrences correspond to verbphrases. We converted programmed recognition automata for German occurrence representations related to road traffic scenes into English occurrence specifications suitable for manipulation by a Fuzzy Metric-Temporal Horn Logic (FMTHL) infer...

In this paper we present a system for three-dimensional reconstruction of architectural scenes from uncalibrated videos. These videos might be recorded using hand-held cameras, downloaded from the internet or taken from archival sources. Because we do not require prior knowledge of the camera’s internal parameters such as focal length, center of projection, and radial distortion we can deal wit...

Segmenting a video sequence into different coherent scenes requires analyzing those aspects which allow finding the changes where a transition is to be found. Textures are an important feature when we try to identify or classify elements in a scene and, therefore, can be very helpful to find those frames where there is a transition. Furthermore, analyzing the textures in a given environment at ...

This contribution addresses the problem of obtaining 3D models from image sequences. A 3D surface description of the scene is extracted completely from a set of uncalibrated camera images of the scene. No prior knowledge about the scene or about the camera is needed to build the 3D models. The only assumptions are the rigidity of the scene objects and opaque object surfaces. The modeling system...