Residual Images Remove Illumination Artifacts!
Proceedings of the 31st DAGM Symposium on Pattern Recognition
Dense point trajectories by GPU-accelerated large displacement optical flow
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
International Journal of Computer Vision
Robust trajectory-space TV-L1 optical flow for non-rigid sequences
EMMCVPR'11 Proceedings of the 8th international conference on Energy minimization methods in computer vision and pattern recognition
Intermediate flow field filtering in energy based optic flow computations
EMMCVPR'11 Proceedings of the 8th international conference on Energy minimization methods in computer vision and pattern recognition
Stereoscopic Scene Flow Computation for 3D Motion Understanding
International Journal of Computer Vision
Illumination-robust dense optical flow using census signatures
DAGM'11 Proceedings of the 33rd international conference on Pattern recognition
Simultaneous reconstruction and tracking of non-planar templates
DAGM'11 Proceedings of the 33rd international conference on Pattern recognition
Image Sequence Interpolation Using Optimal Control
Journal of Mathematical Imaging and Vision
Video motion estimation with temporal coherence
Proceedings of the 10th International Conference on Virtual Reality Continuum and Its Applications in Industry
Improving motion estimation using image-driven functions and hybrid scheme
PSIVT'11 Proceedings of the 5th Pacific Rim conference on Advances in Image and Video Technology - Volume Part I
Improved reconstruction of deforming surfaces by cancelling ambient occlusion
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part I
High accuracy TOF and stereo sensor fusion at interactive rates
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume 2
Noise and illumination invariant road detection based on vanishing point
IScIDE'12 Proceedings of the third Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
An anchor patch based optimization framework for reducing optical flow drift in long image sequences
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
Dense scene flow based on depth and multi-channel bilateral filter
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
High frame rate egomotion estimation
ICVS'13 Proceedings of the 9th international conference on Computer Vision Systems
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A look at the Middlebury optical flow benchmark [5] reveals that nowadays variational methods yield the most accurate optical flow fields between two image frames. In this work we propose an improvement variant of the original duality based TV-L 1 optical flow algorithm in [31] and provide implementation details. This formulation can preserve discontinuities in the flow field by employing total variation (TV) regularization. Furthermore, it offers robustness against outliers by applying the robust L 1 norm in the data fidelity term.Our contributions are as follows. First, we propose to perform a structure-texture decomposition of the input images to get rid of violations in the optical flow constraint due to illumination changes. Second, we propose to integrate a median filter into the numerical scheme to further increase the robustness to sampling artefacts in the image data. We experimentally show that very precise and robust estimation of optical flow can be achieved with a variational approach in real-time. The numerical scheme and the implementation are described in a detailed way, which enables reimplementation of this high-end method.