Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Bücher
Zeitschriften
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
ATZ-Fachkongress

Chassis.tech plus 2024


4 Kongresse in einer Veranstaltung

Treffen Sie in München die Fachleute von Chassis, Lenkung, Bremsen sowie Reifen/Räder.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
Introduction Kapitel lesen Erstes Kapitel lesen

2012 | OriginalPaper | Buchkapitel

5. Image Descriptors

verfasst von : Prof. A. Ardeshir Goshtasby

Erschienen in: Image Registration

Verlag: Springer London

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Image descriptors represent homogeneous features in an image or sub-image. The principles behind histogram-based, spin image-based, filtering-based, and moment-based descriptors are reviewed, and strategies to efficiently compute them are given. In addition, means to combine homogeneous descriptors to composite descriptors are described, and methods to determine the similarity or dissimilarity between the descriptors are outlined. Also discussed in this chapter are determination of global scale and rotational differences between two images by the scale-invariant feature transform (SIFT) and log-polar mapping.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Vorheriges Kapitel Feature Extraction
Nächstes Kapitel Feature Selection and Heterogeneous Descriptors
Literatur
1.
Abdel-Hakim, A.E., Farag, A.A.: CSIFT: A SIFT descriptor with color invariant characteristics. In: Proc. IEEE Conf. Computer Vision and Pattern Recognition, vol. 2, pp. 1978–1983 (2006)
2.
Baumberg, A.: Reliable feature matching across widely separated views. In: IEEE Conf. Computer Vision and Pattern Recognition, vol. 1, pp. 774–781 (2000)
3.
Belongie, S., Malik, J., Puzicha, J.: Shape matching and object recognition using shape contexts. IEEE Trans. Pattern Anal. Mach. Intell. 24(4), 509–522 (2002) CrossRef
4.
Blostein, D., Ahuja, N.: A multiscale region detector. Comput. Vis. Graph. Image Process. 45, 22–41 (1989) CrossRef
5.
Bosch, A., Zisserman, A., Muñoz, X.: Scene classification using a hybrid generative/discriminative approach. IEEE Trans. Pattern Anal. Mach. Intell. 30(4), 712–727 (2008) CrossRef
6.
Brown, M., Süsstrunk, S.: Multi-spectral SIFT for scene category recognition. In: Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 177–184 (2011)
7.
Brown, M., Hua, G., Winder, S.: Discriminative learning of local image descriptors. IEEE Trans. Pattern Anal. Mach. Intell. 33(1), 43–57 (2010) CrossRef
8.
Carneiro, G., Jepson, A.D.: Phase-based local features. In: European Conf. Computer Vision, Copenhagen, Denmark, pp. 282–296 (2002)
9.
Chen, Z., Sun, S.-K.: A Zernike moment phase-based descriptor for local image representation and matching. IEEE Trans. Image Process. 19(1), 205–219 (2010) MathSciNetCrossRef
10.
Chen, J., Shan, S., He, C., Zhao, G., Pietikäinen, M., Chen, X., Gao, W.: WLD: A robust local image descriptor. IEEE Trans. Pattern Anal. Mach. Intell. 32(9), 1705–1710 (2010) CrossRef
11.
Cheng, Y., Swamisai, R., Umbaugh, S.E., Moss, R.H., Stoecker, W.V., Teegala, S., Srinivasan, S.K.: Skin lesion classification using relative color features. Skin Res. Technol. 14, 53–64 (2008)
12.
Chin, T.-J., Suter, D.: Keypoint induced distance profiles for visual recognition. In: Proc. Computer Vision and Pattern Recognition, pp. 1239–1246 (2009)
13.
Dalal, N., Triggs, B.: Histograms of oriented gradients for human detection. In: Proc. Computer Vision and Pattern Recognition, pp. 886–893 (2005)
14.
Dalal, N., Triggs, B., Schmid, C.: Human detection using oriented histograms of flow and appearance. In: Proc. European Conference Computer Vision, pp. 428–441 (2006)
15.
Dicksheild, T., Schindler, F., Förstner, W.: Coding images with local features. Int. J. Comput. Vis. 94, 154–174 (2011) CrossRef
16.
Fergus, R., Perona, P., Zisserman, A.: Object class recognition by unsupervised scale-invariant learning. In: Proc. IEEE Computer Society Conf. Computer Vision and Pattern Recognition, pp. 1063–6919 (2003)
17.
Florack, L., ter Haar Romeny, B., Koenderink, J., Viergever, M.: General intensity transformations and second order invariants. In: Proc. Seventh Scandinavian Conf. Image Analysis, pp. 338–345 (1991)
18.
Freeman, W.T., Adelson, W.H.: The design and use of steerable filters. IEEE Trans. Pattern Anal. Mach. Intell. 13(9), 891–906 (1991) CrossRef
19.
Geusebroek, J.M., van den Boomgaard, R., Smeulders, A.W.M., Geerts, H.: Color invariance. IEEE Trans. Pattern Anal. Mach. Intell. 23(12), 1338–1350 (2001) CrossRef
20.
Guyon, I., Elisseeff, A.: An introduction to variable and feature selection. J. Mach. Learn. Res. 3, 1157–1182 (2003) MATH
21.
Hörster, E., Lienhart, R.: Fusing local image descriptors for large-scale image retrieval. In: Computer Vision and Pattern Recognition, pp. 1–8 (2007)
22.
Huang, C.-R., Chen, C.-S., Chung, P.-C.: Contrast context histogram—an efficient discriminating local descriptor for object recognition and image matching. Pattern Recognit. 41, 3071–3077 (2008) MATHCrossRef
23.
Jain, A.K., Vailaya, A.: Image retrieval using color and shape. Pattern Recognit. 29(8), 1233–1244 (1996) CrossRef
24.
Johnson, A.E., Hebert, M.: Recognizing objects by matching oriented points. In: Proc. Computer Vision and Pattern Recognition, pp. 684–689 (1997)
25.
Ke, Y., Sukthankar, R.: PCA-SIFT: A more distinctive representation for local image descriptors. In: Proc. Conf. Computer Vision and Pattern Recognition, pp. 511–517 (2004)
26.
Kim, W.-Y., Kim, Y.-S.: Robust rotation angle estimator. IEEE Trans. Pattern Anal. Mach. Intell. 21(8), 768–773 (1999) CrossRef
27.
Kittler, J.: Feature set search algorithms. In: Chen, C.H. (ed.) Pattern Recognition and Signal Processing, pp. 41–60 (1978) CrossRef
28.
Lazebnik, S., Schmid, C., Ponce, J.: Sparse texture representation using local affine regions. IEEE Trans. Pattern Anal. Mach. Intell. 27(8), 1265–1278 (2005) CrossRef
29.
Le Brese, C., Zou, J.J., Uy, B.: An improved ASIFT algorithm for matching repeated patterns. In: Proc. IEEE Int’l Conf. Image Processing, pp. 2949–2952 (2010)
30.
Lowe, D.: Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vis. 60(2), 91–110 (2004) CrossRef
31.
Mikolajczyk, K., Schmid, C.: A performance evaluation of local descriptors. IEEE Trans. Pattern Anal. Mach. Intell. 27(10), 1615–1630 (2005) CrossRef
32.
Mohan, V., Shanmugapriya, P., Venkataramani, Y.: Object recognition using image descriptors. In: Proc. Int’l Conf. Computing, Communication and Networking, pp. 1–4 (2008)
33.
Morel, J.M., Yu, G.: ASIFT: A new framework for fully affine invariant image comparison. SIAM J. Imaging Sci. 2, 438–469 (2009) MathSciNetMATHCrossRef
34.
Moreno, P., Bernardino, A., Santos-Victor, J.: Improving the SIFT descriptor with smooth derivative filters. Pattern Recognit. Lett. 30, 18–26 (2009) CrossRef
35.
Mutch, J., Lowe, D.G.: Multiclass object recognition with sparse, localized features. In: IEEE Computer Society Conf. Computer Vision and Pattern Recognition, vol. 1, pp. 11–18 (2006)
36.
Noury, N., Sur, F., Berger, M.-O.: How to overcome perceptual aliasing in ASIFT. In: Proc. 6th Int’l Sym. Visual Computing, vol. 1 (2010)
37.
Pele, O., Werman, M.: A linear time histogram metric for improved SIFT matching. In: European Conf. Computer Vision (2008)
38.
Pinheiro, A.M.G.: Image descriptors based on the edge orientation. In: Int’l Workshop on Digital Object Identifier: Semantic Media Adaptation and Personalization, pp. 73–78 (2009)
39.
Saeys, Y., Inza, I., Larrañaga, P.: A review of feature selection techniques in bioinformatics. Bioinformatics 23(19), 2507–2517 (2007) CrossRef
40.
Schiele, B., Crowley, J.L.: Probabilistic object recognition using multidimensional receptive field histograms. In: Proc. 13th Int’l Conf. Pattern Recognition, vol. 2, pp. 50–54 (1996) CrossRef
41.
Schiele, B., Crowley, J.L.: Object recognition using multidimensional receptive field histograms. In: Proc. European Conf. Computer Vision (ECCV), vol. 1, pp. 610–619 (1996)
42.
Schiele, B., Crowley, J.L.: Recognition without correspondence using multidimensional receptive field histograms. Int. J. Comput. Vis. 36(1), 31–50 (2000) CrossRef
43.
Schmid, C., Mohr, R.: Local gray-value invariants for image retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 19(5), 530–535 (1997) CrossRef
44.
Sebe, N., Lew, M.S.: Robust color indexing. In: Int’l Multimedia Conf., pp. 239–242 (1999)
45.
Shin, D., Tjahjadi, T.: Clique descriptor of affine invariant regions for robust wide baseline image matching. Pattern Recognit. 43, 3261–3272 (2010) MATHCrossRef
46.
Spath, H.: Cluster Analysis Algorithms. Ellis Horwood, Chichester (1980)
47.
Stockman, G., Kopstein, S., Benett, S.: Matching images to models for registration and object detection via clustering. IEEE Trans. Pattern Anal. Mach. Intell. 4(3), 229–241 (1982) CrossRef
48.
Swain, M.J., Ballard, D.H.: Color indexing. Int. J. Comput. Vis. 7(1), 11–32 (1991) CrossRef
49.
Tang, F., Lim, S.H., Chang, N.L., Tao, H.: A novel feature descriptor invariant to complex brightness changes. In: Proc. Computer Vision and Pattern Recognition, pp. 2631–2638 (2009)
50.
Terasawa, K., Nagasaki, T., Kawashima, T.: Error evaluation of scale-invariant local descriptor and its application to image indexing. Electron. Commun. Jpn., Part 3 90(2), 31–39 (2007) CrossRef
51.
Theodoridis, S., Koutroumbas, K.: Pattern Recognition, 4th edn. Academic Press, San Diego (2009), pp. 602, 605, 606
52.
Toews, M., Wells, W. III: SIFT-Rank: Ordinal description for invariant feature correspondence. In: Computer Vision and Pattern Recognition Workshops, pp. 172–177 (2009)
53.
van de Sande, K., Gevers, T., Snoek, C.G.M.: Evaluating color descriptors for object and scene recognition. IEEE Trans. Pattern Anal. Mach. Intell. 32(9), 1582–1596 (2010) CrossRef
54.
van de Weijer, J., Gevers, T., Bagdanov, A.: Boosting color saliency in image feature detection. IEEE Trans. Pattern Anal. Mach. Intell. 28(1), 150–156 (2006) CrossRef
55.
van Gool, L., Moons, T., Ungureanu, D.: Affine/photometric invariants for planar intensity patterns. In: Proc. European Conference on Computer Vision, pp. 642–651 (1996)
56.
Winder, S.A.J., Brown, M.: Learning local image descriptors. In: Computer Vision and Pattern Recognition, pp. 1–8 (2007)
57.
Worthy, L., Sinzinger, E.: Scene identification using invariant radial feature descriptors. In: Proc. 8th Int’l Workshop Image Analysis for Multimedia Interactive Service, pp. 39–43 (2007) CrossRef
58.
Zhu, Q., Avidan, S., Yeh, M.-C., Cheng, K.-T.: Fast human detection using cascade of histograms of oriented gradients. In: Computer Vision and Pattern Recognition (2006)
Metadaten
Titel
Image Descriptors
verfasst von
Prof. A. Ardeshir Goshtasby
Copyright-Jahr
2012
Verlag
Springer London
Buch
Image Registration

Print ISBN: 978-1-4471-2457-3

Electronic ISBN: 978-1-4471-2458-0

Copyright-Jahr: 2012

DOI
https://doi.org/10.1007/978-1-4471-2458-0_5

Premium Partner

    Bildnachweise