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Exploring the representation capabilities of the HOG descriptor. / Tatu, Aditya Jayant; Lauze, Francois Bernard; Nielsen, Mads; Kimia, Benjamin.
2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops). IEEE, 2011. s. 1410-1417.
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Harvard
Tatu, AJ
, Lauze, FB, Nielsen, M & Kimia, B 2011,
Exploring the representation capabilities of the HOG descriptor. i
2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops). IEEE, s. 1410-1417, International Conference of Computer Vision (ICCV), Barcelona, Spanien,
08/11/2011.
https://doi.org/10.1109/ICCVW.2011.6130416APA
Tatu, A. J.
, Lauze, F. B., Nielsen, M., & Kimia, B. (2011).
Exploring the representation capabilities of the HOG descriptor. I
2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops) (s. 1410-1417). IEEE.
https://doi.org/10.1109/ICCVW.2011.6130416Vancouver
Tatu AJ
, Lauze FB, Nielsen M, Kimia B.
Exploring the representation capabilities of the HOG descriptor. I 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops). IEEE. 2011. s. 1410-1417
https://doi.org/10.1109/ICCVW.2011.6130416Author
Tatu, Aditya Jayant ; Lauze, Francois Bernard ; Nielsen, Mads ; Kimia, Benjamin. / Exploring the representation capabilities of the HOG descriptor. 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops). IEEE, 2011. s. 1410-1417
Bibtex
@inproceedings{b997bc8bbe8e4f15b54b326b5e996b44,
title = "Exploring the representation capabilities of the HOG descriptor",
keywords = "image recognition, image representation, very large databases, visual databases, CALTECH databases, HOG descriptor, ImageNet, LabelMe, PASCAL databases, SIFT, dense grid of points, impostor image sharing, initial visual appearance, metameric class, noncategory images, object content, object recognition strategies, random images, regional descriptors, representation capabilities, source image, sparse set of points, Educational institutions, Equations, Histograms, Mathematical model, Object recognition, Upper bound, Vectors",
author = "Tatu, {Aditya Jayant} and Lauze, {Francois Bernard} and Mads Nielsen and Benjamin Kimia",
year = "2011",
doi = "10.1109/ICCVW.2011.6130416",
language = "English",
isbn = "978-1-4673-0062-9",
pages = "1410--1417",
booktitle = "2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)",
publisher = "IEEE",
note = "null ; Conference date: 08-11-2011 Through 13-11-2011",
}
RIS
TY - GEN
T1 - Exploring the representation capabilities of the HOG descriptor
AU - Tatu, Aditya Jayant
AU - Lauze, Francois Bernard
AU - Nielsen, Mads
AU - Kimia, Benjamin
PY - 2011
Y1 - 2011
KW - image recognition
KW - image representation
KW - very large databases
KW - visual databases
KW - CALTECH databases
KW - HOG descriptor
KW - ImageNet
KW - LabelMe
KW - PASCAL databases
KW - SIFT
KW - dense grid of points
KW - impostor image sharing
KW - initial visual appearance
KW - metameric class
KW - noncategory images
KW - object content
KW - object recognition strategies
KW - random images
KW - regional descriptors
KW - representation capabilities
KW - source image
KW - sparse set of points
KW - Educational institutions
KW - Equations
KW - Histograms
KW - Mathematical model
KW - Object recognition
KW - Upper bound
KW - Vectors
U2 - 10.1109/ICCVW.2011.6130416
DO - 10.1109/ICCVW.2011.6130416
M3 - Article in proceedings
SN - 978-1-4673-0062-9
SP - 1410
EP - 1417
BT - 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)
PB - IEEE
Y2 - 8 November 2011 through 13 November 2011
ER -
