International Journal of Computer Vision
From Inpainting to Active Contours
International Journal of Computer Vision
Superpipelined high-performance optical-flow computation architecture
Computer Vision and Image Understanding
Non-Rigid Ultrasound Image Registration Based on Intensity and Local Phase Information
Journal of Signal Processing Systems
Optimization strategies for high-performance computing of optical-flow in general-purpose processors
IEEE Transactions on Circuits and Systems for Video Technology
On variational methods for fluid flow estimation
IWCM'04 Proceedings of the 1st international conference on Complex motion
Motion compensated video super resolution
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
Beauty with variational methods: an optic flow approach to hairstyle simulation
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
A duality based approach for realtime TV-L1 optical flow
Proceedings of the 29th DAGM conference on Pattern recognition
Fine grain pipeline systems for real-time motion and stereo-vision computation
International Journal of High Performance Systems Architecture
Tangent flow estimation based on 3-D gradient constraint
ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
Variational optic flow on the Sony PlayStation 3
Journal of Real-Time Image Processing
Complex motion models for simple optical flow estimation
Proceedings of the 32nd DAGM conference on Pattern recognition
Control of the Effects of Regularization on Variational Optic Flow Computations
Journal of Mathematical Imaging and Vision
Edge-based compression of cartoon-like images with homogeneous diffusion
Pattern Recognition
A robust multigrid approach for variational image registration models
Journal of Computational and Applied Mathematics
Line Search Multilevel Optimization as Computational Methods for Dense Optical Flow
SIAM Journal on Imaging Sciences
Optic flow from multi-scale dynamic anchor point attributes
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part I
Fast deformable registration of 3d-ultrasound data using a variational approach
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Endocardial tracking in contrast echocardiography using optical flow
ISBMDA'05 Proceedings of the 6th International conference on Biological and Medical Data Analysis
Discontinuity-preserving computation of variational optic flow in real-time
Scale-Space'05 Proceedings of the 5th international conference on Scale Space and PDE Methods in Computer Vision
From inpainting to active contours
VLSM'05 Proceedings of the Third international conference on Variational, Geometric, and Level Set Methods in Computer Vision
II-LK – a real-time implementation for sparse optical flow
ICIAR'10 Proceedings of the 7th international conference on Image Analysis and Recognition - Volume Part I
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
On performance analysis of optical flow algorithms
Proceedings of the 15th international conference on Theoretical Foundations of Computer Vision: outdoor and large-scale real-world scene analysis
Monocular rear-view obstacle detection using residual flow
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume 2
ECCV'10 Proceedings of the 11th European conference on Trends and Topics in Computer Vision - Volume Part II
Optical flow estimation in cardiac CT images using the steered Hermite transform
Image Communication
An interactive system for set reconstruction from multiple input sources
Proceedings of the Symposium on Digital Production
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This paper investigates the usefulness of bidirectional multigrid methods for variational optical flow computations. Although these numerical schemes are among the fastest methods for solving equation systems, they are rarely applied in the field of computer vision. We demonstrate how to employ those numerical methods for the treatment of variational optical flow formulations and show that the efficiency of this approach even allows for real-time performance on standard PCs. As a representative for variational optic flow methods, we consider the recently introduced combined local-global method. It can be considered as a noise-robust generalization of the Horn and Schunck technique. We present a decoupled, as well as a coupled, version of the classical Gauß-Seidel solver, and we develop several multigrid implementations based on a discretization coarse grid approximation. In contrast, with standard bidirectional multigrid algorithms, we take advantage of intergrid transfer operators that allow for nondyadic grid hierarchies. As a consequence, no restrictions concerning the image size or the number of traversed levels have to be imposed. In the experimental section, we juxtapose the developed multigrid schemes and demonstrate their superior performance when compared to unidirectional multigrid methods and nonhierachical solvers. For the well-known 316×252 Yosemite sequence, we succeeded in computing the complete set of dense flow fields in three quarters of a second on a 3.06-GHz Pentium4 PC. This corresponds to a frame rate of 18 flow fields per second which outperforms the widely-used Gauß-Seidel method by almost three orders of magnitude.