Zobrazeno 1 - 10
of 163
pro vyhledávání: '"Shohreh Kasaei"'
Autor:
Ali Mousavi, Raziyeh Pourdarbani, Sajad Sabzi, Dorrin Sotoudeh, Mehrab Moradzadeh, Ginés García-Mateos, Shohreh Kasaei, Mohammad H. Rohban
Publikováno v:
Horticulturae, Vol 10, Iss 1, p 43 (2024)
Pomegranate is a temperature-sensitive fruit during postharvest storage. If exposed to cold temperatures above its freezing point for a long time, it will suffer from cold stress. Failure to pay attention to the symptoms that may occur during storage
Externí odkaz:
https://doaj.org/article/3c4435d1e9d748b9a4a8039f61673275
Publikováno v:
PLoS ONE, Vol 18, Iss 2, p e0271388 (2023)
The 3D point clouds are increasingly being used in various application including safety-critical fields. It has recently been demonstrated that deep neural networks can successfully process 3D point clouds. However, these deep networks can be misclas
Externí odkaz:
https://doaj.org/article/34eaa733a8e1466a83913af7d2b470b0
Publikováno v:
IET Computer Vision, Vol 11, Iss 8, Pp 683-690 (2017)
Although there is an increasing interest in employing the depth data in computer vision applications, the spatial resolution of depth maps is still limited compared with typical visible‐light images. A novel method is proposed to synthetically impr
Externí odkaz:
https://doaj.org/article/18341f0bdef04cfea32d5e1f4020bcd9
Autor:
Hadis Mohseni Takallou, Shohreh Kasaei
Publikováno v:
IET Computer Vision, Vol 8, Iss 1, Pp 54-65 (2014)
Although the ability to estimate the face pose and recognise its identity are common human abilities, they are still a challenge in computer vision context. In this study, the authors aim to overcome these difficulties by learning a non‐linear tens
Externí odkaz:
https://doaj.org/article/ba1b4d8a5e2e4dac9087dcd6143376d0
Publikováno v:
International Journal of Information and Communication Technology Research, Vol 5, Iss 1, Pp 19-26 (2013)
In large databases, lack of labeled training data leads to major difficulties in classification process. Semi-supervised algorithms are employed to suppress this problem. Video databases are the epitome for such a scenario. Fortunately, graph-based m
Externí odkaz:
https://doaj.org/article/dcff2e3f409442588198177b636094e0
Publikováno v:
Journal of Intelligent Procedures in Electrical Technology, Vol 2, Iss 8, Pp 59-69 (2012)
This paper aims at applying H.264 in medical video compression applications and improving the H.264 Compression performance with better perceptual quality and low coding complexity. In order to achieve higher compression of medical video, while maint
Externí odkaz:
https://doaj.org/article/9a71d0441d4940828cdf5e3e562afee9
Autor:
H. Mahdavi-Nasab, Shohreh Kasaei
Publikováno v:
Iranian Journal of Electrical and Electronic Engineering, Vol 1, Iss 2, Pp 49-58 (2005)
Motion estimation and compensation is an essential part of existing video coding systems. The mesh-based motion estimation (MME) produces smoother motion field, better subjective quality (free from blocking artifacts), and higher peak signal-to-noise
Externí odkaz:
https://doaj.org/article/799c9f7fbb4b4381b3bab6071d11ab71
Autor:
Shohreh Kasaei, Maryam Hasanzadeh
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2008 (2008)
Fuzzy connectedness and fuzzy clustering are two well-known techniques for fuzzy image segmentation. The former considers the relation of pixels in the spatial space but does not inherently utilize their feature information. On the other hand, the la
Externí odkaz:
https://doaj.org/article/f3217f41499f4e79a32b93fcefc1cb0d
Publikováno v:
The Visual Computer. 38:2023-2032
Hand pose estimation is one of the most attractive research areas for image processing. Among the human body parts, hands are particularly important for human–machine interactions. The advent of commercial depth cameras along with the rapid growth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d807acb26c574aa4eca03ad9a0f88dc9
https://doi.org/10.1007/s00371-021-02263-7
https://doi.org/10.1007/s00371-021-02263-7
Publikováno v:
Multimedia Tools and Applications. 80:22027-22076
Due to the automatic feature extraction procedure via multi-layer nonlinear transformations, the deep learning-based visual trackers have recently achieved a great success in challenging scenarios for visual tracking purposes. Although many of those
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a010c69ce20da20944c556f859562582
https://doi.org/10.1007/s11042-020-10382-x
https://doi.org/10.1007/s11042-020-10382-x