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The following topics are dealt with: camera motion; image sequences; video post production; robust motion estimation; video database; kernel density estimation; image reconstruction; image texture analysis; 3D video sequences; image based acquisition and character animation.
Exposure Fusion and other HDR techniques generate well-exposed images from a bracketed image sequence while reproducing a large dynamic range that far exceeds the dynamic range of a single exposure. Common to all these techniques is the problem that the smallest movements in the captured images generate artefacts (ghosting) that dramatically affect the quality of the final images. This limits the...
When depicting both virtual and physical worlds, the viewer's impression of presence in these worlds is strongly linked to camera motion. Plausible and artist-controlled camera movement can substantially increase scene immersion. While physical camera motion exhibits subtle details of position, rotation, and acceleration, these details are often missing for virtual camera motion. In this work, we...
Many applications in media production need information about moving objects in the scene, e.g. insertion of computer-generated objects, association of sound sources to these objects or visualization of object trajectories in broadcasting. We present a GPU accelerated approach for detecting and tracking salient features in image sequences and we propose an algorithm for clustering the obtained feature...
The current success of immersive 3D experiences in feature films and the trend towards 3D TV require advanced tools and workflows for high-quality capture of multi-view live scenes including depth information. These requirements are not fulfilled by today's capture workflows and infrastructures based on legacy technology from 2D capture solutions. We propose a comprehensive infrastructure for capture...
We present an algorithm for estimating dense image correspondences. Our versatile approach lends itself to various tasks typical for video post-processing, including image morphing, optical flow estimation, stereo rectification, disparity/depth reconstruction and baseline adjustment. We incorporate recent advances in feature matching, energy minimization, stereo vision and data clustering into our...
Acquisition of consistent multi-camera image data such as for time-slice sequences (widely known by their use as cinematic effects, e.g. in “The Matrix”) is a challenging task, especially when using low-cost image sensors. Many different steps such as camera calibration and color conformation are involved, each of which poses individual problems. We have developed a complete and extendable setup for...
For motion-adaptive video retiming methods, the quest to lower the implementation complexity and improve the quality of motion estimation algorithms still continues. Comparing different motion estimators (MEs) and/or fine-tuning ME parameters is a time-consuming task, and it is even more demanding to identify the MEs with a robust performance among all the well-performing MEs. Therefore, a computer-aided...
This paper describes ANSWER which is a new approach to the creative process of film production. It is based on a symbolic notation system called Director Notation (DN) through which film directors are free to express their creative intent much like a music composer uses musical notation. The notation populates a semantic model which is machine processable and this input is automatically converted...
This paper introduces a new database of freely available stereo-3D content designed to facilitate research in stereo post-production. It describes the structure and content of the database and provides some details about how the material was gathered. The database includes examples of many of the scenarios characteristic to broadcast footage. Material was gathered at different locations including...
We present a statistical framework to merge the information from silhouettes segmented in multiple view images to infer the 3D shape of an object. The approach is generalising the robust but discrete modelling of the visual hull by using the concept of averaged likelihoods. One resulting advantage of our framework is that the objective function is continuous and therefore an iterative gradient ascent...
This paper presents a method to estimate alpha mattes for video sequences of the same foreground scene from wide-baseline views given sparse key-frame trimaps in a single view. A statistical inference framework is introduced for spatio-temporal propagation of high-confidence trimap labels between video sequences without a requirement for correspondence or camera calibration and motion estimation....
The extraction of disparity data by means of stereo matching has well known issues in regions of low texture. This paper proposes a method which employs texture classification metrics in order to make predictions on the quality of the stereo matching output. Such predictions can then be used to alter the way the disparity data is used in further processing, or to even cancel processing of a pixel...
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