Multidimensional Orientation Estimation with Applications to Texture Analysis and Optical Flow
IEEE Transactions on Pattern Analysis and Machine Intelligence
Performance of optical flow techniques
International Journal of Computer Vision
The robust estimation of multiple motions: parametric and piecewise-smooth flow fields
Computer Vision and Image Understanding
Computing Optical Flow with Physical Models of Brightness Variation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Handbook of Computer Vision and Applications: Volume 1: From Scenes to Images
Handbook of Computer Vision and Applications: Volume 1: From Scenes to Images
Direct Estimation of Range Flow on Deformable Shape From a Video Rate Range Camera
IEEE Transactions on Pattern Analysis and Machine Intelligence
Differential Range Flow Estimation
Mustererkennung 1999, 21. DAGM-Symposium
Surface Expansion from Range Data Sequences
Proceedings of the 23rd DAGM-Symposium on Pattern Recognition
Skin and Bones: Multi-layer, Locally Affine, Optical Flow and Regularization with Transparency
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Illumination-Invariant Change Detection
SSIAI '00 Proceedings of the 4th IEEE Southwest Symposium on Image Analysis and Interpretation
Lucas/Kanade meets Horn/Schunck: combining local and global optic flow methods
International Journal of Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multi-Scale 3D Scene Flow from Binocular Stereo Sequences
WACV-MOTION '05 Proceedings of the IEEE Workshop on Motion and Video Computing (WACV/MOTION'05) - Volume 2 - Volume 02
Highly Accurate Optic Flow Computation with Theoretically Justified Warping
International Journal of Computer Vision
Multi-View Stereo Reconstruction and Scene Flow Estimation with a Global Image-Based Matching Score
International Journal of Computer Vision
Optimal filters for extended optical flow
IWCM'04 Proceedings of the 1st international conference on Complex motion
Towards a multi-camera generalization of brightness constancy
IWCM'04 Proceedings of the 1st international conference on Complex motion
Simultaneous estimation of surface motion, depth and slopes under changing illumination
Proceedings of the 29th DAGM conference on Pattern recognition
3-D Motion Estimation Using Range Data
IEEE Transactions on Intelligent Transportation Systems
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
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
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In this paper range flow estimation is extended to handle brightness changes in image data caused by inhomogeneous illumination. Standard range flow computes 3d velocity fields from range and intensity image sequences. To this end it combines a depth change model and a brightness constancy model. In this contribution, the brightness constancy model is exchanged by (1) a gradient constancy model, (2) a combination of gradient and brightness constancy constraint that has been used successfully for optical flow estimation in literature, and (3) a physics-based brightness change model. Insensitivity to brightness changes can also be achieved by prefiltering of the input intensity data. High pass or homomorphic filtering are the most well known approaches from literature. In performance tests therefore the well known version and the novel versions of range flow estimation are investigated on prefiltered or non-prefiltered data using synthetic ground-truth and real data from a botanical experiment.