IEEE Transactions on Pattern Analysis and Machine Intelligence
Image-based spatio-temporal modeling and view interpolation of dynamic events
ACM Transactions on Graphics (TOG)
Multi-scale 3D scene flow from binocular stereo sequences
Computer Vision and Image Understanding
Range Flow for Varying Illumination
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
EPnP: An Accurate O(n) Solution to the PnP Problem
International Journal of Computer Vision
An Improved Algorithm for TV-L1 Optical Flow
Statistical and Geometrical Approaches to Visual Motion Analysis
EMMCVPR '09 Proceedings of the 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
Large Displacement Optical Flow: Descriptor Matching in Variational Motion Estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Stereoscopic Scene Flow Computation for 3D Motion Understanding
International Journal of Computer Vision
Bilateral filtering-based optical flow estimation with occlusion detection
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Dense and accurate spatio-temporal multi-view stereovision
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part II
Scene flow estimation by growing correspondence seeds
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Kinecting the dots: Particle based scene flow from depth sensors
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
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There is close relationship between depth information and scene flow. However, it's not fully utilized in most of scene flow estimators. In this paper, we propose a method to estimate scene flow with monocular appearance images and corresponding depth images. We combine a global energy optimization and a bilateral filter into a two-step framework. Occluded pixels are detected by the consistency of appearance and depth, and the corresponding data errors are excluded from the energy function. The appearance and depth information are also utilized in anisotropic regularization to suppress over-smoothing. The multi-channel bilateral filter is introduced to correct scene flow with various information in non-local areas. The proposed approach is tested on Middlebury dataset and the sequences captured by KINECT. Experiment results show that it can estimate dense and accurate scene flow in challenging environments and keep the discontinuity around motion boundaries.