A signal processing approach to fair surface design
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
IEEE Transactions on Pattern Analysis and Machine Intelligence
Determining Optical Flow
Discrete laplace operators: no free lunch
SGP '07 Proceedings of the fifth Eurographics symposium on Geometry processing
Fast Non-Rigid Surface Detection, Registration and Realistic Augmentation
International Journal of Computer Vision
Mesh-Guided Optimized Retexturing for Image and Video
IEEE Transactions on Visualization and Computer Graphics
Performance capture from sparse multi-view video
ACM SIGGRAPH 2008 papers
ACM SIGGRAPH 2008 papers
Augmented reality on cloth with realistic illumination
Machine Vision and Applications
Retexturing in the Presence of Complex Illumination and Occlusions
ISMAR '07 Proceedings of the 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality
Direct Estimation of Nonrigid Registrations with Image-Based Self-Occlusion Reasoning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Retexturing single views using texture and shading
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
Image change detection algorithms: a systematic survey
IEEE Transactions on Image Processing
Texture replacement of garments in monocular video sequences
EGSR'06 Proceedings of the 17th Eurographics conference on Rendering Techniques
Deshaking endoscopic video for kymography
ACM SIGGRAPH 2011 Posters
Simultaneous reconstruction and tracking of non-planar templates
DAGM'11 Proceedings of the 33rd international conference on Pattern recognition
Efficient image/video retexturing using parallel bilateral grids
Proceedings of the 10th International Conference on Virtual Reality Continuum and Its Applications in Industry
VEA 2012: Interactive image/video retexturing using GPU parallelism
Computers and Graphics
Flexpad: highly flexible bending interactions for projected handheld displays
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Augmenting cloth in real video is a challenging task because cloth performs complex motions and deformations and produces complex shading on the surface. Therefore, for a realistic augmentation of cloth, parameters describing both deformation as well as shading properties are needed. Furthermore, objects occluding the real surface have to be taken into account as on the one hand they affect the parameter estimation and on the other hand should also occlude the virtually textured surface. This is especially challenging in monocular image sequences where a 3-dimensional reconstruction of complex surfaces is difficult to achieve. In this paper, we present a method for cloth retexturing in monocular image sequences under external occlusions without a reconstruction of the 3-dimensional geometry. We exploit direct image information and simultaneously estimate deformation and photometric parameters using a robust estimator which detects occluded pixels as outliers. Additionally, we exploit the estimated parameters to establish an occlusion map from local statistical color models of texture surface patches that are established during tracking. With this information we can produce convincing augmented results.