Three-dimensional image processing using the concept of network resonance

Bruton, L.T.; Bartley, N.R.

doi:10.1109/tcs.1985.1085773

Cited by 176 publications

(73 citation statements)

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“…(Dudgeon and Mersereau, 1984). Linear n-D filters of low order have also been successfully used to extract velocity information from visual scenes (Bruton and Bartley, 1985), and a framework for the treatment and development of fan filters for image sequence analysis by means of a 3-D Radon transform was presented in (Marzetta, 1994). Until that time, a crucial point for the realization of these filters had been the missing available hardware capacity (Marzetta, 1994): computing and analyzing visual scenes of reasonable resolutions in temporal and spatial directions require high-end hardware to process n-D filters in real time.…”

Section: S Schauland Et Almentioning

confidence: 99%

“…Transfer function design. Bruton and Bartley (1985) present simple filter structures exactly matching the given requirements described in Section 3.2, as they possess passbands located on planes in the 3D Fourier space. However, in practice these filter structures do not offer much flexibility as the passbands are very narrow and therefore the filter used has to exactly match the velocity of the target object.…”

Section: 2mentioning

confidence: 99%

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Detection of Moving Objects in Image Sequences using 3D Velocity Filters

Schauland

Velten

Kummert

2008

International Journal of Applied Mathematics and Computer Science

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A movement analysis of objects contained in visual scenes can be performed by means of linear multidimensional filters, which have already been analyzed in the past. While the soundness of the results was convincing, interest in those systems declined due to the limited computational power of contemporary computers. Recent advances in design and implementation of integrated circuits and hardware architectures allow realizing velocity filters if the n-D system is carefully adapted to the analyzed problem. In this paper, the fundamental principles of visual scene analysis by linear multidimensional filters are examined with respect to possible sources of degradation. The extraction of movement information and its practical use are demonstrated using a wave digital filter (WDF) implementation.

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Section: S Schauland Et Almentioning

confidence: 99%

Section: 2mentioning

confidence: 99%

Detection of Moving Objects in Image Sequences using 3D Velocity Filters

Schauland

Velten

Kummert

2008

International Journal of Applied Mathematics and Computer Science

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“…In order to construct a planar passband in 4D, two hyperplanar passbands, with appropriate orientations, are designed to intersect using the basic approach suggested in [6] for the 3D case. The design of the hyperplanar filters is a simple matter of extending the 3D frequency-planar filter presented in [6] by including an extra spatial variable.…”

Section: D Frequency-hyperplanar Filtermentioning

confidence: 99%

“…The design of the hyperplanar filters is a simple matter of extending the 3D frequency-planar filter presented in [6] by including an extra spatial variable. …”

Section: D Frequency-hyperplanar Filtermentioning

confidence: 99%

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A 4D frequency-planar IIR filter and its application to light field processing

Dansereau

Bruton

Proceedings of the 2003 International Symposium on Circuits and Systems, 2003. ISCAS '03.

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A 4D frequency-planar filter is described, having a steady-state frequency response with a pass band that approximates that of a 4D plane. It is shown that a light field containing Lambertian surfaces with no occlusions may be selectively filtered for depth using such a filter.Examples are given showing the effectiveness of the filter in scenes with and without occlusions. A technique for effectively reducing the length of the transient response of the filter is also proposed and the effectiveness of this technique demonstrated.

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Design of optimal filter for detecting linear trajectory signals utilizing object shape and velocity vector

Kondo

Hamada

2000

Electron. Comm. Jpn. Pt. I

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In this article, we discuss the design of an optimal filter to detect objects that move linearly in dynamic images. With previous designs of filters to detect linear trajectory signals (LTS), the passband was set as the region of existence of LTS spectrum with some tolerance, while the rest was considered as the stopband. If two or more LTSs exist with different directions and velocities, however, their spectral domains are not necessarily exclusive (nonoverlapped). In this article, optimal filter theory is applied in a new way to the design of LTS detection filter. In so doing, spectra of signals to be extracted, or to be rejected, are treated as random variables, and the problem of minimization of error criteria is formalized as a stationary stochastic process. © 1999 Scripta Technica, Electron Comm Jpn Pt 1, 83(2): 42–51, 2000

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Three-dimensional image processing using the concept of network resonance

Cited by 176 publications

References 1 publication

Detection of Moving Objects in Image Sequences using 3D Velocity Filters

Detection of Moving Objects in Image Sequences using 3D Velocity Filters

A 4D frequency-planar IIR filter and its application to light field processing

Design of optimal filter for detecting linear trajectory signals utilizing object shape and velocity vector

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