Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Hanlin Mo"'
Publikováno v:
Applied Sciences, Vol 13, Iss 23, p 12645 (2023)
Fish object detection has attracted significant attention because of the considerable role that fish play in human society and ecosystems and the necessity to gather more comprehensive fish data through underwater videos or images. However, fish dete
Externí odkaz:
https://doaj.org/article/e6c1a34dc9094c1a850a644f98f5ee47
Publikováno v:
Pattern Recognition Letters. 128:270-277
Chirality describes the structural properties or configuration of an object, and it plays an important role in fields such as physics, chemistry and biology. It is critical to identify achiral objects and determine symmetry plane of them in shape ana
Publikováno v:
IEEE Signal Processing Letters. 25:1064-1068
Affine moment invariant (AMI) is a kind of hand-crafted image feature, which is invariant to affine transformations. This property is precisely what the standard convolution neural network (CNN) is difficult to achieve. In this letter, we present a k
Publikováno v:
Pattern Recognition. 115:107887
In this paper, we focus on the derivation of blur moment invariants. Blur moment invariants are image moment-based features, which preserve their values when the image is convolved by a point-spread function (PSF). Suppose a PSF has N -fold rotationa
Publikováno v:
Pattern Recognition and Computer Vision ISBN: 9783030033378
PRCV (3)
PRCV (3)
One of the most challenging problems in the domain of 2-D image or 3-D shape is to handle the non-rigid deformation. From the perspective of transformation groups, the conformal transformation is a key part of the diffeomorphism. According to the Lio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::220e2d79bd6f872a5e551f75120218d8
https://doi.org/10.1007/978-3-030-03338-5_24
https://doi.org/10.1007/978-3-030-03338-5_24
Publikováno v:
Pattern Recognition and Computer Vision ISBN: 9783030033972
PRCV (1)
PRCV (1)
In this paper, we propose a novel method to build a rotation invariant descriptor using multi-directional and high-order gradients (MDHOG). To this end, a new dense sampling strategy based on the local rotation invariant coordinate system is first in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dfa0f92e76c017157854f9d50c69f993
https://doi.org/10.1007/978-3-030-03398-9_32
https://doi.org/10.1007/978-3-030-03398-9_32
Publikováno v:
Electrical and Computer Engineering Publications
An individual decision-making behavior is heavily influenced by and adapted to external environmental factors. Given that software development is a human-centered activity, individual decision-making behavior may affect the software project quality.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4475c3a9caacbca3d5fa333dd6748790
http://arxiv.org/abs/1711.07867
http://arxiv.org/abs/1711.07867
In this paper, we propose relative projective differential invariants (RPDIs) which are invariant to general projective transformations. By using RPDIs and the structural frame of integral invariant, projective weighted moment invariants (PIs) can be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f08176c07e0241186cdd84865ae2ee6
http://arxiv.org/abs/1707.05950
http://arxiv.org/abs/1707.05950
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319716060
ICIG (1)
ICIG (1)
We present a novel Affine-Gradient based Local Binary Pattern (AGLBP) descriptor for texture classification. It is very hard to describe complicated texture using single type information, such as Local Binary Pattern (LBP), which just utilizes the si
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3479a1f8c2c66d73ef40c9a2cf38581d
https://doi.org/10.1007/978-3-319-71607-7_18
https://doi.org/10.1007/978-3-319-71607-7_18
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811073045
CCCV (3)
CCCV (3)
A new kind of geometric invariants is proposed in this paper, which is called affine weighted moment invariant (AWMI). By combination of affine differential invariants and the framework of global integral, they can more effectively extract features o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::494a79a119d57b5db8e13aff38e92073
https://doi.org/10.1007/978-981-10-7305-2_47
https://doi.org/10.1007/978-981-10-7305-2_47