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pro vyhledávání: '"Gharbi, Akram Abderraouf"'
Person re-identification (PRe-ID) is a computer vision issue, that has been a fertile research area in the last few years. It aims to identify persons across different non-overlapping camera views. In this paper, We propose a novel PRe-ID system that
Externí odkaz:
http://arxiv.org/abs/2312.16226
Autor:
Gharbi, Akram Abderraouf, Chouchane, Ammar, Bessaoudi, Mohcene, Ouamane, Abdelmalik, Belabbaci, El ouanas
In this paper, we present a novel person reidentification (PRe-ID) system that based on tensor feature representation and multilinear subspace learning. Our approach utilizes pretrained CNNs for high-level feature extraction, along with Local Maximal
Externí odkaz:
http://arxiv.org/abs/2312.10470
Autor:
Ouanas, Belabbaci El, Mohammed, Khammari, Ammar, Chouchane, Bessaoudi, Mohcene, Ouamane, Abdelmalik, Gharbi, Akram Abderraouf
Kinship verification from face images is a novel and formidable challenge in the realms of pattern recognition and computer vision. This work makes notable contributions by incorporating a preprocessing technique known as Multiscale Retinex (MSR), wh
Externí odkaz:
http://arxiv.org/abs/2312.10462
Autor:
Gharbi, Akram Abderraouf, Chouchane, Ammar, Ouamane, Abdelmalik, Belabbaci, El Ouanas, Himeur, Yassine, Bourennane, Salah
Publikováno v:
In Expert Systems With Applications 10 December 2024 257
