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- Hagen Spies, Bernd Jähne, John L. Barron
- Computer Vision and Image Understanding
- 2002

We discuss the computation of the instantaneous 3D displacement vector fields of deformable surfaces from sequences of range data. We give a novel version of the basic motion constraint equation that can be evaluated directly on the sensor grid. The various forms of the aperture problem encountered are investigated and the derived constraint solutions are… (More)

- Hagen Spies, Bernd Jähne, John L. Barron
- ICPR
- 2000

The combined use of intensity and depth information greatly helps in the estimation of the local 3D movements (range flow) of moving surfaces. We demonstrate how the two can be combined in both a local total least squares algorithm and in an iterative global variational technique. While the first assumes locally constant flow the second method relies on a… (More)

Image sequence processing techniques are used to study exchange, growth, and transport processes and to tackle key questions in environmental physics and biology. These applications require high accuracy for the estimation of the motion field since the most interesting parameters of the dynamical processes studied are contained in first-order derivatives of… (More)

- Hagen Spies, Hanno Scharr
- ICCV
- 2001

Optical Flow estimation in noisy image sequences requires a special denoising strategy. Towards this end we introduce a new tensor-driven anisotropic diffusion scheme which is designed to enhance optical-flow-like spatiotemporal structures. This is achieved by selecting diffusivities in a special manner depending on the eigenvalues of the well known… (More)

- Hagen Spies, Horst W. Haussecker, Bernd Jähne, John L. Barron
- DAGM-Symposium
- 1999

We present a total least squares based di erential method for the estimation of 3D range ow from a sequence of range images. We address the various manifestations of the aperture problem encountered with this type of data. It is described how they can be detected and how the appropriate normal ow can be computed. The performance of the proposed method is… (More)

- Hagen Spies, Ian Ricketts
- 2000

This paper describes a simple face recognition system based on an analysis of faces via their Fourier spectra. Recognition is done by finding the closest match between feature vectors containing the Fourier coefficients at selected frequencies. The introduced method compares favourably to three other competing approaches implemented on the same database.

- John L. Barron, Hagen Spies
- Theoretical Foundations of Computer Vision
- 2000

We present quantitative results for computing local least squares and global regularized range flow using both image and range data. We first review the computation of local least squares range flow and then show how its computation can be cast in a global Horn and Schunck like regularization framework [15]. These computations are done using both range data… (More)

- Hagen Spies, Bernd Jähne, John L. Barron
- ECCV
- 2000

Extending a differential total least squares method for range flow estimation we present an iterative regularisation approach to compute dense range flow fields. We demonstrate how this algorithm can be used to detect motion discontinuities. This can can be used to segment the data into independently moving regions. The different types of aperture problem… (More)

- Christoph S. Garbe, Hagen Spies, Bernd Jähne
- Journal of Mathematical Imaging and Vision
- 2003

The study of dynamical processes at the sea surface interface using infrared image sequence analysis has gained tremendous popularity in recent years. Heat is transferred by similar transport mechanisms as gases relevant to global climatic changes. These similarities lead to the use of infrared cameras to remotely visualize and quantitatively estimate… (More)

- Hagen Spies
- 2008

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