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Seyed M. M. Kahaki

dblp:95/10155 · also Seyed Mostafa Mousavi Kahaki · DBLP profile ↗
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4ranked-venue papers
2as first author
0since 2021 · last 2020
0000-0002-0249-3238ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2 · 2 first-authorGraphics, computer vision, multimedia, augmented reality and games · 2

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Image and video processing · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Image and video processing › image warping
image rotation
0.212015
Double Line Image Rotation · IEEE Trans. Image Process. 2015
Image and video processing
image transform
0.212015
Double Line Image Rotation · IEEE Trans. Image Process. 2015

Methods — techniques the papers use, named apart from their topics

line-based rotation · 0.2integer arithmetic · 0.2
YearPublicationVenuePosition
2020 Deep convolutional neural network designed for age assessment based on orthopantomography data
Seyed M. M. Kahaki, Md. Jan Nordin, Nazatul S. Ahmad, Mahir Arzoky, Waidah Ismail
Neural Comput. Appl.1
2018 Interaction techniques in desktop virtual environment: the study of visual feedback and precise manipulation method
Meng Chun Lam, Haslina Arshad, Anton Satria Prabuwono, Seyed M. M. Kahaki
Multim. Tools Appl.5
2016 Deformation invariant image matching based on dissimilarity of spatial features
Seyed M. M. Kahaki, Mohd Jan Nordin, Amir Hossein Ashtari, Sophia J. Zahra
Neurocomputing1
2015 Double Line Image Rotation
abstract
This paper proposes a fast algorithm for rotating images while preserving their quality. The new approach rotates images based on vertical or horizontal lines in the original image and their rotated equation in the target image. The proposed method is a one-pass method that determines a based-line equation in the target image and extracts all corresponding pixels on the base-line. Floating-point multiplications are performed to calculate the base-line in the target image, and other line coordinates are calculated using integer addition or subtraction and logical justifications from the base-line pixel coordinates in the target image. To avoid a heterogeneous distance between rotated pixels in the target image, each line rotates to two adjacent lines. The proposed method yields good performance in terms of speed and quality according to the results of an analysis of the computation speed and accuracy.
Amir Hossein Ashtari, Mohd Jan Nordin, Seyed M. M. Kahaki
IEEE Trans. Image Process.3