Focus-of-Attention from Local Color Symmetries

Heidemann G (2004)
IEEE Transactions on Pattern Analysis and Machine Intelligence 26(7): 817-830.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
Download
Es wurden keine Dateien hochgeladen. Nur Publikationsnachweis!
Autor*in
Heidemann, Gunther
Abstract / Bemerkung
In this paper, a continuous valued measure for local color symmetry is introduced. The new algorithm is an extension of the successful gray value-based symmetry map proposed by Reisfeld et al. The use of color facilitates the detection of focus points (FPs) on objects that are difficult to detect using gray-value contrast only. The detection of FPs is aimed at guiding the attention of an object recognition system; therefore, FPs have to fulfill three major requirements: stability, distinctiveness, and usability. The proposed algorithm is evaluated for these criteria and compared with the gray value-based symmetry measure and two other methods from the literature. Stability is tested against noise, object rotation, and variations of lighting. As a measure for the distinctiveness of FPs, the principal components of FP-centered windows are compared with those of windows at randomly chosen points on a large database of natural images. Finally, usability is evaluated in the context of an object recognition task.
Erscheinungsjahr
2004
Zeitschriftentitel
IEEE Transactions on Pattern Analysis and Machine Intelligence
Band
26
Ausgabe
7
Seite(n)
817-830
ISSN
0162-8828
Page URI
https://pub.uni-bielefeld.de/record/2714429

Zitieren

Heidemann G. Focus-of-Attention from Local Color Symmetries. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2004;26(7):817-830.
Heidemann, G. (2004). Focus-of-Attention from Local Color Symmetries. IEEE Transactions on Pattern Analysis and Machine Intelligence, 26(7), 817-830. doi:10.1109/TPAMI.2004.29
Heidemann, Gunther. 2004. “Focus-of-Attention from Local Color Symmetries”. IEEE Transactions on Pattern Analysis and Machine Intelligence 26 (7): 817-830.
Heidemann, G. (2004). Focus-of-Attention from Local Color Symmetries. IEEE Transactions on Pattern Analysis and Machine Intelligence 26, 817-830.
Heidemann, G., 2004. Focus-of-Attention from Local Color Symmetries. IEEE Transactions on Pattern Analysis and Machine Intelligence, 26(7), p 817-830.
G. Heidemann, “Focus-of-Attention from Local Color Symmetries”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 26, 2004, pp. 817-830.
Heidemann, G.: Focus-of-Attention from Local Color Symmetries. IEEE Transactions on Pattern Analysis and Machine Intelligence. 26, 817-830 (2004).
Heidemann, Gunther. “Focus-of-Attention from Local Color Symmetries”. IEEE Transactions on Pattern Analysis and Machine Intelligence 26.7 (2004): 817-830.

13 Zitationen in Europe PMC

Daten bereitgestellt von Europe PubMed Central.

Learning to Model Task-Oriented Attention.
Zou X, Zhao X, Wang J, Yang Y., Comput Intell Neurosci 2016(), 2016
PMID: 27247561
Quantitative analysis of human-model agreement in visual saliency modeling: a comparative study.
Borji A, Sihite DN, Itti L., IEEE Trans Image Process 22(1), 2013
PMID: 22868572
State-of-the-art in visual attention modeling.
Borji A, Itti L., IEEE Trans Pattern Anal Mach Intell 35(1), 2013
PMID: 22487985
Curved glide-reflection symmetry detection.
Lee S, Liu Y., IEEE Trans Pattern Anal Mach Intell 34(2), 2012
PMID: 21670486
Predicting Eye Fixations on Complex Visual Stimuli Using Local Symmetry.
Kootstra G, de Boer B, Schomaker LR., Cognit Comput 3(1), 2011
PMID: 21475690
The improbability of harris interest points.
Loog M, Lauze F., IEEE Trans Pattern Anal Mach Intell 32(6), 2010
PMID: 20431138
Skewed rotation symmetry group detection.
Lee S, Liu Y., IEEE Trans Pattern Anal Mach Intell 32(9), 2010
PMID: 20634559
Irregular shape symmetry analysis: theory and application to quantitative galaxy classification.
Guo Q, Guo F, Shao J., IEEE Trans Pattern Anal Mach Intell 32(10), 2010
PMID: 20724752
Discriminant saliency, the detection of suspicious coincidences, and applications to visual recognition.
Gao D, Han S, Vasconcelos N., IEEE Trans Pattern Anal Mach Intell 31(6), 2009
PMID: 19372605
Boosting color saliency in image feature detection.
van de Weijer J, Gevers T, Bagdanov AD., IEEE Trans Pattern Anal Mach Intell 28(1), 2006
PMID: 16402628
Interactive image data labeling using self-organizing maps in an augmented reality scenario.
Bekel H, Heidemann G, Ritter H., Neural Netw 18(5-6), 2005
PMID: 16112547
The long-range saliency of edge- and corner-based salient points.
Heidemann G., IEEE Trans Image Process 14(11), 2005
PMID: 16279171

67 References

Daten bereitgestellt von Europe PubMed Central.

Columbia Object Image Library: COIL-100
nene, 1996

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0
Untersuchung und Erweiterung eines Ansatzes zur modellfreien Aufmerksamkeitssteuerung durch lokale Symmetrien in einem Computer Vision System
nattkemper, 1997

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0
Towards Automatic Visual Obstacle Avoidance
moravec, Proc Fifth Int'l Joint Conf Artificial Intelligence (), 1977

AUTHOR UNKNOWN, 0
Corner Detection and Curve Representation Using Cubic B-Splines
medioni, Computer Vision Graphics and Image Processing 39(), 1987

mallat, A Wavelet Tour of Signal Processing (), 1998
A survey of medical image registration.
Maintz JB, Viergever MA., Med Image Anal 2(1), 1998
PMID: 10638851

AUTHOR UNKNOWN, 0
Detection of Interest Points for Image Indexation
bres, Proc Visual 99 Int Conf Visual Information Systems (), 1999

AUTHOR UNKNOWN, 0
Rotationally Invariant Image Operators
beaudet, Proc Fourth Int'l Joint Conf Pattern Recognition (), 1978
Towards an Image Understanding Architecture for a Situated Artificial Communicator
bauckhage, Pattern Recognition and Image Analysis 9(), 1999

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0
Modeling Saccadic Targeting in Visual Search
rao, Advances in Neural Information Processing Systems 8 (), 1995

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0
Extraction et Appariements Robustes des Points d'Int�r�t de Deux Images non �talonn�es
cottier, 1994

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0

haralick, Computer and Robot Vision 2(), 1993

AUTHOR UNKNOWN, 0
combining multiple neural nets for visual feature selection and classification
heidemann, Proceedings of 9th International Conference on Artificial Neural Networks ICANN 99 1(), 1999

AUTHOR UNKNOWN, 0
Farbe und Symmetrie f�r die datengetriebene Generierung pr�gnanter Fokuspunkte
heidemann, Proc Fourth Workshop Farbbildverarbeitung (), 1998

AUTHOR UNKNOWN, 0
Ein Flexibel Einsetzbares Objekterkennungssystem auf der Basis Neuronaler Netze
heidemann, 1998
Content-Based Image Retrieval Based on Local Affinely Invariant Regions
tuytelaars, Proc Third Int'l Conf Visual Information Systems (), 1999

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0
Detection and Tracking of Point Features
tomasi, 1991

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0
Representation of local geometry in the visual system.
Koenderink JJ, van Doorn AJ., Biol Cybern 55(6), 1987
PMID: 3567240

AUTHOR UNKNOWN, 0
Multiscale corner detection by using wavelet transform.
Lee JS, Sun YN, Chen CH., IEEE Trans Image Process 4(1), 1995
PMID: 18289962

AUTHOR UNKNOWN, 0
Efficient Vector Quantization Using the WTA-Rule with Activity Equalization
heidemann, Neural Processing Letters 13(), 2001
Simulation of neural contour mechanisms: from simple to end-stopped cells.
Heitger F, Rosenthaler L, von der Heydt R, Peterhans E, Kubler O., Vision Res. 32(5), 1992
PMID: 1604865

AUTHOR UNKNOWN, 0

householder, The Theory of Matrices in Numerical Analysis (), 1964
Export

Markieren/ Markierung löschen
Markierte Publikationen

Open Data PUB

Web of Science

Dieser Datensatz im Web of Science®
Quellen

PMID: 18579942
PubMed | Europe PMC

Suchen in

Google Scholar