Dr. Christoph Zetzsche Profile

Dr. Christoph Zetzsche

at Univ Bremen

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Author

Publications (16)

Proceedings Article | 14 March 2007 Paper

Nonlinear encoding in multilayer LNL systems optimized for the representation of natural images

Christoph Zetzsche, Ulrich Nuding

Proceedings Volume 6492, 649204 (2007) https://doi.org/10.1117/12.710650

KEYWORDS: Transform theory, Wavelets, Complex systems, Principal component analysis, Independent component analysis, Nonlinear filtering, Linear filtering, Neurons, Image processing, Nonlinear optics

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Proceedings Article | 12 February 2007 Paper

Navigation based on a sensorimotor representation: a virtual reality study

Christoph Zetzsche, Christopher Galbraith, Johannes Wolter, Kerstin Schill

Proceedings Volume 6492, 64921G (2007) https://doi.org/10.1117/12.711121

KEYWORDS: Sensors, Virtual reality, Environmental sensing, Sensory processes, Psychology, Neuroscience, Head-mounted displays, Computer programming, Cognition, Electronic imaging

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Proceedings Article | 8 June 2001 Paper

Nonlinear AND interactions between frequency components and the selective processing of intrinsically two-dimensional signals by cortical neurons

Christoph Zetzsche, Gerhard Krieger, Gerd Mayer

Proceedings Volume 4299, (2001) https://doi.org/10.1117/12.429500

KEYWORDS: Neurons, Complex systems, Linear filtering, Visual process modeling, Systems modeling, Nonlinear filtering, Visualization, Optical filters, Spatial filters, Data modeling

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The standard model of visual processing is based on the selective properties of linear spatial filters which are tuned to different orientations and radial frequencies. This standard model is well suited for the description of a wide range of phenomena in vision but it is not clear, whether the whole range of basic properties of early vision is entirely within the models explanatory scope. Here we suggest that there exists a basic selective processing property in early vision which is definitely outside the explanatory scope of the standard model: the selectivity for intrinsically 2D signals. This property has already been observed in the classical experiments of Hubel and Wiesel, and has more recently been found in more complex form in the extra-classical receptive field properties of various visual neurons. We show here that this selectivity cannot be described within the framework of linear spatial filtering because of reasons which lie at the heart of the theory o f linear systems: the restriction of such systems to OR- combinations of their intrinsically 1D eigenfunctions. We present a general nonlinear framework for the modeling of i2D-selective systems which is based on AND-like combinations of frequency components, and which is closely related to the Wiener-Volterra representation of nonlinear systems. To our knowledge, i2D-selectivity is the only non- standard property for which such a theoretical framework yet exists. The framework enables the combination of the nonlinear i2D-selectivity with other basic selectivities of visual neurons, for examples with simple and complex-like properties, and makes it thus possible, to construct models for the variety of neurophysiological observations on the i2D-selective processing in visual neurons. As an insight of general interest for the recent discussion on second-order properties in early vision, the framework reveals the existence of extended equivalence classes in which nonlinear schemes can have very dissimilar structural properties, and lead nevertheless to identical input-output relations. Finally, there is a close relation between i2D-selectivity and the higher-order statistical redundancies in natural images.

SPIE Journal Paper | 1 January 2001

Nonlinear mechanisms and higher-order statistics in biological vision and electronic image processing: review and perspectives

Christoph Zetzsche, Gerhard Krieger

JEI, Vol. 10, Issue 01, (January 2001) https://doi.org/10.1117/12.10.1117/1.1333056

KEYWORDS: Neurons, Linear filtering, Nonlinear filtering, Independent component analysis, Statistical analysis, Image filtering, Computer programming, Wavelets, Electronic filtering, Image processing

SPIE Journal Paper | 1 January 2001

Scene analysis with saccadic eye movements: top-down and bottom-up modeling

Kerstin Schill, Elisabeth Umkehrer, Stephan Beinlich, Gerhard Krieger, Christoph Zetzsche

JEI, Vol. 10, Issue 01, (January 2001) https://doi.org/10.1117/12.10.1117/1.1329627

KEYWORDS: Eye, Sensors, Motion analysis, Eye models, Complex systems, Image processing, Statistical analysis, Nonlinear filtering, Computing systems, Process modeling

Proceedings Article | 19 May 1999 Paper

Knowledge-based scene analysis with saccadic eye movements

Kerstin Schill, Elisabeth Umkehrer, Stephan Beinlich, Gerhard Krieger, Christoph Zetzsche

Proceedings Volume 3644, (1999) https://doi.org/10.1117/12.348483

KEYWORDS: Eye, Sensors, Motion analysis, Image processing, Complex systems, Nonlinear filtering, Statistical analysis, Feature extraction, Eye models, Linear filtering

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Proceedings Article | 19 May 1999 Paper

Nonlinear neurons and higher-order statistics: new approaches to human vision and digital image processing

Christoph Zetzsche, Gerhard Krieger

Proceedings Volume 3644, (1999) https://doi.org/10.1117/12.348430

KEYWORDS: Linear filtering, Neurons, Statistical analysis, Wavelets, Image filtering, Computer programming, Communication engineering, Visualization, Visual process modeling, Systems modeling

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Proceedings Article | 17 July 1998 Paper

Endstopped operators based on iterated nonlinear center-surround inhibition

Erhardt Barth, Christoph Zetzsche

Proceedings Volume 3299, (1998) https://doi.org/10.1117/12.320156

KEYWORDS: Linear filtering, Cones, Retina, Neurons, Gaussian filters, Optical filters, Sensors, Neural networks, Finite impulse response filters, Image compression

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Proceedings Article | 17 July 1998 Paper

Visual representation of spatiotemporal structure

Kerstin Schill, Christoph Zetzsche, Wilfried Brauer, A. Eisenkolb, A. Musto

Proceedings Volume 3299, (1998) https://doi.org/10.1117/12.320104

KEYWORDS: Visualization, Data processing, Visual system, Visual process modeling, Computer programming, Neurons, Signal processing, Associative arrays, Data modeling, Sensors

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Proceedings Article | 23 June 1993 Paper

Fractal properties from 2D curvature on multiple scales

Erhardt Barth, Christoph Zetzsche, Mario Ferraro, Ingo Rentschler

Proceedings Volume 2031, (1993) https://doi.org/10.1117/12.146648

KEYWORDS: Fractal analysis, Machine vision, Computer vision technology, Visualization, Neurons, Visual process modeling, Image filtering, Visual system, Signal processing, Human vision and color perception

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Proceedings Article | 1 November 1992 Paper

Efficient image sequence coding by vector quantization of spatiotemporal bandpass outputs

Bernhard Wegmann, Christoph Zetzsche

Proceedings Volume 1818, (1992) https://doi.org/10.1117/12.131386

KEYWORDS: Quantization, Electronic filtering, Image compression, Linear filtering, 3D image processing, Image processing, Image filtering, Statistical analysis, Visual communications, Visualization

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Proceedings Article | 1 September 1991 Paper

Efficient visual representation and reconstruction from generalized curvature measures

Erhardt Barth, Terry Caelli, Christoph Zetzsche

Proceedings Volume 1570, (1991) https://doi.org/10.1117/12.49977

KEYWORDS: Machine vision, Computer vision technology, Reconstruction algorithms, Visualization, Computer programming, Image filtering, Signal processing, Filtering (signal processing), Pellicles, Feature extraction

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Proceedings Article | 1 September 1991 Paper

Spatio-temporal curvature measures for flow-field analysis

Christoph Zetzsche, Erhardt Barth, Joachim Berkmann

Proceedings Volume 1570, (1991) https://doi.org/10.1117/12.48436

KEYWORDS: Machine vision, Computer vision technology, Signal detection, Visualization, Signal processing, Sensors, Image processing, 3D image processing, Neurons, Nonlinear filtering

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Proceedings Article | 1 October 1990 Paper

Visual-system-based polar quantization of local amplitude and local phase of orientation filter outputs

Bernhard Wegmann, Christoph Zetzsche

Proceedings Volume 1249, (1990) https://doi.org/10.1117/12.19680

KEYWORDS: Quantization, Signal analyzers, Image filtering, Electronic filtering, Human vision and color perception, Image compression, Visual process modeling, Bandpass filters, Linear filtering, Statistical analysis

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Proceedings Article | 1 October 1990 Paper

Image surface predicates and the neural encoding of two-dimensional signal variations

Christoph Zetzsche, Erhardt Barth

Proceedings Volume 1249, (1990) https://doi.org/10.1117/12.19667

KEYWORDS: Sensors, Signal detection, Filtering (signal processing), Visual process modeling, Human vision and color perception, Electronic filtering, Optical filters, Electronic imaging, Nonlinear filtering, Signal processing

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Proceedings Article | 1 September 1990 Paper

Statistical dependence between orientation filter outputs used in a human-vision-based image code

Bernhard Wegmann, Christoph Zetzsche

Proceedings Volume 1360, (1990) https://doi.org/10.1117/12.24279

KEYWORDS: Quantization, Image filtering, Statistical analysis, Image processing, Vector spaces, Human vision and color perception, Visual communications, Visualization, Electronic filtering, Linear filtering

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Showing 5 of 16 publications

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