FULL Papers - Posters

Papers selected for POSTER Presentation

Flowlab - an interactive tool for editing dense image correspondences - Felix Klose, Kai Ruhl, Christian Lipski, Marcus Magnor (TU Braunschweig)
Abstract
Finding dense correspondences between two images is a well-researched but still unsolved problem. For various tasks in computer graphics, e.g. image interpolation, obtaining plausible correspondences is a vital component. We present an interactive tool that allows the user to modify and correct dense correspondence maps between two given images. Incorporating state-of-the art algorithms in image segmentation, correspondence estimation and optical flow, our tool assists the user in selecting and correcting mismatched correspondences.

Cooperative patch-based 3D surface tracking - Martin Klaudiny, Adrian Hilton (University of Surrey)
Abstract
This paper presents a novel dense motion capture technique which creates a temporally consistent mesh sequence from several calibrated and synchronised video sequences of a dynamic object. A surface patch model based on the topology of a user-specified reference mesh is employed to track the surface of the object over time. Multi-view 3D matching of surface patches using a novel cooperative minimisation approach provides initial motion estimates which are robust to large, rapid non-rigid changes of shape. A Laplacian deformation subsequently regularises the motion of the whole mesh using the weighted vertex displacements as soft constraints. An unregistered surface geometry independently reconstructed at each frame is incorporated as a shape prior to improve the quality of tracking. The method is evaluated in a challenging scenario of facial performance capture. Results demonstrate accurate tracking of fast, complex expressions over long sequences without use of markers or a pattern.

Projective Reconstruction from Incomplete Trajectories by Global and Local Constraints - Hanno Ackermann, Bodo Rosenhahn (Leibniz University Hanover)
Abstract
The paper deals with projective shape and motion reconstruction by subspace iterations. A prerequisite of factorization-style algorithms is that all feature points need be observed in all images, a condition which is hardly realistic in real videos. We therefore address the problem of estimating structure and motion considering missing features. The proposed algorithm does not require initialization and uniformly handles all available data. The computed solution is global in the sense that it does not merge partial solutions incrementally or hierarchically. The global cost due to the factorization is further amended by local constraints to regularize and stabilize the estimations. It is shown how both costs can be jointly minimized in the presence of unobserved points. By synthetic and real image sequences with up to 60% missing data we demonstrate that our algorithm is accurate and reliable.

Towards Moment Imagery: Automatic Cinemagraphs - James Tompkin, Fabrizio Pece, Kartic Subr, Jan Kautz (University College London)
Abstract
The imagination of the online photographic community has recently been sparked by so-called cinemagraphs: short, seamlessly looping animated GIF images created from video in which only parts of the image move. These cinemagraphs capture the dynamics of one particular region in an image for dramatic effect, and provide the creator with control over what part of a moment to capture. We create a cinemagraphs authoring tool combining video motion stabilisation, segmentation, interactive motion selection, motion loop detection and selection, and cinemagraph rendering. Our work pushes toward the easy and versatile creation of moments that cannot be represented with still imagery.

A real-time production tool for animated hand sketches - Joern Loviscach (Fachhochschule Bielefeld)
Abstract
The look of hand-drawn sketches has become fashionable in video production. This paper introduces a software tool to produce corresponding videos in real-time during lectures or presentations, at the desk or in the studio. Currently, two styles are available. In the first style, a hand seems to draw on a whiteboard. In the second style, the presenter seems to stand behind a transparent board, which is simulated with the help of a camera. In both cases, the input stems from a standard graphics tablet. The image of the lecturer's arm is synthesized from photographs and animated through inverse kinematics; the sound of the pen and the eraser is synthesized from recordings. Auxiliary functions include a ghosted script for the presenter and drag&drop of graphical elements prepared in advance.

Robust Colour Correction for Stereo - Hasan Sheik Faridul & Jürgen Stauder (Technicolor Research & Innovation), Alain Trémeau (Université Jean Monnet)
Abstract
Color difference between views of a stereo pair is a challenging problem. Applications such as compression of stereo image demands the compensation of color differences which is typically done by methods called color mapping. Color mapping is based on geometric feature correspondences. From these feature correspondences, color correspondences are generated which is used for fitting a color mapping model. This paper focuses on detection of outliers in the geometric feature correspondences. We propose a novel iterative outlier removal method which exploits colors in the neighborhood of the feature correspondences. From the analysis of our experimental results and comparing with existing methods we conclude that the proposed outlier removal method outperforms other geometric and color based methods.