Zobrazeno 1 - 10
of 1 247
pro vyhledávání: '"Affine shape adaptation"'
Publikováno v:
2009 IEEE Intelligent Vehicles Symposium.
The paper studies new constraints that characterize a 3D-motion field as observed from the relative motion of a camera. Such constraints are derived from the relative change in size of observed local image regions over time. To consider the image dis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ba2a691adba793d703bb87bb3ab4434
https://doi.org/10.1109/ivs.2009.5164296
https://doi.org/10.1109/ivs.2009.5164296
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642030604
Statistical and Geometrical Approaches to Visual Motion Analysis
Statistical and Geometrical Approaches to Visual Motion Analysis
This chapter applies anisotropic Gaussian scale space theory for modeling affine shape modifications of moving blobs in the context of vision-based driver assistance systems. First, affine blobs are detected in an image sequence and tracked; second,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5c8eb25f0db18848e602d110a6c5874
https://doi.org/10.1007/978-3-642-03061-1_13
https://doi.org/10.1007/978-3-642-03061-1_13
Kniha
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Conference
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Autor:
Safa Jalil Jassim, Guangzhi Ma, Mudhafar Jalil Jassim Ghrabat, Zaid Ameen Abduljabbar, Mustafa A. Al Sibahee
Publikováno v:
IEEE Access. 7:169142-169159
Despite extensive research on content-based image retrieval, challenges such as low accuracy, incapability to handle complex queries and high time consumption persist. Initially, a preprocessing technique is introduced in this study, a technique that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39fa374fb69384773ec7b7b106bc5193
https://doi.org/10.1109/access.2019.2948266
https://doi.org/10.1109/access.2019.2948266
Autor:
Jian-Ping Zhang, Yun-Zhang Li
Publikováno v:
Applied and Computational Harmonic Analysis. 46:177-191
Mixed Oblique Extension Principles (MOEP) provide an important method to construct affine dual frames from refinable functions. This paper addresses MOEP under the setting of reducing subspaces of L 2 ( R d ) . We obtain an MOEP for (non)homogeneous
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d1e69a58ff066e836f7416978f8f410
https://doi.org/10.1016/j.acha.2017.11.006
https://doi.org/10.1016/j.acha.2017.11.006
Publikováno v:
IEEE Transactions on Circuits and Systems II: Express Briefs. 65:1793-1797
The performance analysis of the improved proportionate affine projection (IPAP) algorithm is performed in this brief. Based on the energy-conservation arguments, the steady-state analysis of the IPAP algorithm is performed, which provides a general e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d78351596bebf0c443558567e6bdef4d
https://doi.org/10.1109/tcsii.2017.2767569
https://doi.org/10.1109/tcsii.2017.2767569
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 28:2500-2512
We consider the person re-identification problem, assuming the availability of a sequence of images for each person, commonly referred to as video-based or multi-shot re-identification. We approach this problem from the perspective of learning discri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d49c7affaa8737a60aee634be624c55
https://doi.org/10.1109/tcsvt.2017.2732822
https://doi.org/10.1109/tcsvt.2017.2732822
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 28:1934-1948
In this paper, we study a simplified affine motion model-based coding framework to overcome the limitation of a translational motion model and maintain low-computational complexity. The proposed framework mainly has three key contributions. First, we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::414c70b9b82034a29107db36ce51fbc2
https://doi.org/10.1109/tcsvt.2017.2699919
https://doi.org/10.1109/tcsvt.2017.2699919
Publikováno v:
IET Image Processing. 12:337-344
Robust and reliable features with noise immunity, rotation-invariance, and low-dimensionality are the challenging aspects of pattern recognition. In this study, the authors presented a novel low-dimensional binary feature descriptor local diagonal La
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd7533f3043c01f9662f980d2f49b4fd
https://doi.org/10.1049/iet-ipr.2017.0526
https://doi.org/10.1049/iet-ipr.2017.0526