4 edition of **Representations based on zero-crossings in scale-space.** found in the catalog.

- 372 Want to read
- 29 Currently reading

Published
**1986**
by Courant Institute of Mathematical Sciences, New York University in New York
.

Written in English

**Edition Notes**

Series | Robotics report -- 71 |

The Physical Object | |
---|---|

Pagination | 11 p. |

Number of Pages | 11 |

ID Numbers | |

Open Library | OL17979098M |

Curvature Scale Space Representation: Theory, Applications, and MPEG-7 Standardization is based on key publications on the CSS technique, as well as its multiple applications and generalizations. The goal was to ensure that the reader will have access to the most fundamental results concerning the CSS method in one volume. Find helpful customer reviews and review ratings for Curvature Scale Space Representation: Theory, Applications, and MPEG-7 Standardization (Computational Imaging and Vision) (Volume 25) at Read honest and unbiased product reviews from our users.5/5(1).

Journal publications. Peyman Hosseinzadeh Kassani, Li Xiao, Gemeng Zhang, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang, Causality based Feature Fusion for Brain Neuro-Developmental Analysis, IEEE Transactions on Medical Imaging, Page(s), Date of Publication: 24 April ; DOI: /TMI; Yipu Zhang, Peng Peng, Yongfeng Ju, Gang Li, Vince . The visual recognition problem is central to computer vision research. From robotics to information retrieval, many desired applications demand the ability to identify and localize categories, places, and objects. This tutorial overviews computer vision algorithms for visual object recognition and image classification. We introduce primary representations and learning approaches, with an.

This system makes use of an evolved version of the Curvature Scale Space (CSS) representation. In the proposed approach, it is curvature extrema, instead of zero crossings, that are tracked during silhouette evolution, hence improving robustness and enabling to cope successfully with cases where the standard CCS representation is found to be Cited by: 7. ts and sparse representations based signal processing. Given our multi-disciplinary background in mathematical sciences, signal and image processing, biomedical imaging and bioinformatics, the representation and analysis of biomedical imaging .

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Home Browse by Title Books Readings in computer vision: issues, problems, principles, and paradigms Representations based on zero-crossings in scale-space.

chapter. Representations based on zero-crossings in scale-space. Share on. Author: Robert A. Hummel. Representations based on zero-crossings in scale-space.

Pages – Previous. texts All Books All Texts latest This Just In Smithsonian Libraries FEDLINK Representations based on zero-crossings in scale-space Item Preview remove-circle Representations based on zero-crossings in scale-space by Pages: Zero-crossings in Scale-Space Representations based on Zero-crossings in Scale-Space Robert A.

Hummel Courant Institute of Mathematical Sciences New York University Abstract Using the Heat Equation to formulate the notion of scale-space filtering, we show that the evolution property of level-crossings in scale-space is equivalent to the maximum by: Robert Hummel Representations based on Zero-crossings in Scale-Space Robert A.

Hummel Abstract Using the Heat Equation to formulate the notion of scale-space filtering, we show that the evolution property of level-crossings in scale-space is equivalent to the max- imum principle. Representations Based on Zero-crossings in Scale-Space, Signal Matching Through Scale Space,oulis, & APPENDIX A: KEY IDEAS, ASSUMPTIONS, AND OPEN ISSUES IN COMPUTER VISION APPENDIX B: PARALLEL COMPUTER ARCHITECTURES FOR COMPUTER VISION Glossary Bibliography IndexBook Edition: 1.

Reconstruction from zero-crossings in scale-space A, Hummel R. and Robert, Moniot «PDF PDTOSTOKP8 Reconstruction from zero-crossings in scale-space A, Hummel R. and Robert, Moniot By - Paperback Condition: New. READ ONLINE [ MB ] Reviews Comprehensive guide for pdf lovers.

It generally is not going to charge too much. This representation is based upon the zero-crossings and local energies of a multiscale transform called the dyadic wavelet transform.

We experimentally show that this representation is complete and that we can reconstruct the original signal with an iterative algorithm. The model parameters are estimated by substituting zero-crossings of the input signals' scale-space representation into scale-dependent algebraic expressions and are further refined by fitting the.

A novel zero-crossing edge detection method based on multi-scale space theory Abstract: This paper aims to explore the zero-crossing edge detection method based on the scale-space theory. After the one-dimensional signal and two-dimensional image are convolved with the second derivation of the Gaussian kernel respectively, the zero-crossing method is applied to And the zero-crossings.

a scale-space family, where t = 0 denotes the original image and t > 0 increasing (coarser) scales. Scale-Space Theory Notes This document is largely a summary of ideas taken from Tony Lindeberg’s paper: “Scale-Space for Discrete Signals” and Hummel’s paper: “Representations based on Zero-crossings in.

We propose a new scale-invariant representation similar to the scale-space image. The representation is generated by locating zero-crossings of the curvature function of boundaries at only the scales where the number of zero-crossings is changing.

We scale the x-axis for each scale instead of using the same normalization for all by: 1. Hummel, R.A. () Representation based on zero-crossings in scale space, Proceedings, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June. Johansen, P. Skelboe, K. Grue and J.D. Anderson.

() Representing signals by their top points in scale space, Proceedings, Eighth International Conference. Representations based on Zero-crossings In Scale-Space Robert A. Hummel Abstract Using the Heat Equation to formulate the notion of scale-space filtering, we show that the evolution property of level-crossings in scale-space is equivalent to the max-imum principle.

We briefly discuss filtering over bounded domains. We then con. Scale-space representations computed at scale levels t= 1, 8 and 64 (in pixel units). = f. Then, based on this representation, scale-space deriva-tives at any scale tcan be computed either by di erentiating the scale-space directly or by convolving the original image with Gaussian derivative kernels: zero-crossings of L q that satisfy L.

NORMAL ECG RECOGNITION FOR EXPRESS-DIAGNOSTICS BASED ON SCALE-SPACE REPRESENTATION AND DYNAMIC MATCHING Nataliya Bilous, Michael Bondarenko, Gleb Kobzar, Alexey Krasov, Artyom Rogozyanov Abstract: A novel approach of normal ECG recognition based on scale-space signal representation is proposed.

DATA COMPRESSION OF MULTISCALE ZERO-CROSSING IMAGE REPRESENTATION To reduce the amount of the complementary information in the stabilized multiscale zero-crossing image representation, we introduce a threshold operation based on edge intensity which is defined as the absolute value of the foregoing inner product Si at each approximate zero-crossing : Shinji Watanabe, Takashi Komatsu, Takahiro Saito.

The completeness, stability, and application to pattern recognition of a multiscale representation based on zero-crossings is discussed. An alternative projection algorithm is described that.

Abstract: The completeness, stability, and application to pattern recognition of a multiscale representation based on zero-crossings is discussed. An alternative projection algorithm is described that reconstructs a signal from a zero-crossing representation, which is stabilized by keeping the value of the wavelet transform integral between each pair of consecutive by: Then, based on this representation, scale-space derivatives at any scale t are defined by Figure 2: (a) The main idea of a scale-space representation is to generate a one-parameter family of derived signals in which the fine-scale information is successively suppressed.

We present a technique for the construction of multi-scale representations of grey-level images. Unlike conventional representations the scales are discrete as opposed to continuous and their level is solely determined by the data.

The technique is based upon connecting singular points in the image with maximum gradient by:. International Book Series "Information Science and Computing" 53 AUTOMATIC ECG ANALYSIS FOR PRELIMINARY AND DETAILED DIAGNOSTICS BASED ON SCALE-SPACE REPRESENTATION Natalie Belous, Gleb Kobzar Abstract: A novel approach of automatic ECG analysis based on scale-scale signal representation is proposed.A zero-crossing is a point where the sign of a mathematical function changes (e.g.

from positive to negative), represented by a intercept of the axis (zero value) in the graph of the function. It is a commonly used term in electronics, mathematics, acoustics, and image processing. In electronics.

In alternating current, the zero-crossing is the instantaneous point at which there is no voltage. In this paper we study the application of the Affine Morphological Scale Space (AMSS) to the analysis of singularities (corners or multiple junctions) of the shapes present in a 2-D image.

We introduce a new family of travelling wave solutions of AMSS which determines the evolution of the initial shapes given by conics. We characterize the evolution of corners accross the scales according to Cited by: