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- research-articleAugust 2024
Resilient recognition system for degraded thermal images using convolutional neural networks
International Journal of Information and Communication Technology (IJICT), Volume 25, Issue 5Pages 50–71https://doi.org/10.1504/ijict.2024.140327For biometric identity applications, thermal infrared face recognition technologies have become a powerful alternative to visual systems. However, thermal images can undergo degradation in various ways, including noise, blurring, reduced spatial ...
- research-articleJuly 2020
Pose‐invariant face recognition based on matching the occlusion free regions aligned by 3D generic model
IET Computer Vision (CVI2), Volume 14, Issue 5Pages 268–277https://doi.org/10.1049/iet-cvi.2019.0244Face recognition systems perform accurately in a controlled environment, but an unconstrained environment dramatically degrades their performance. In this study, a novel pose‐invariant face recognition system is proposed based on the occlusion free ...
- demonstrationSeptember 2019
Generating Domain and Pose Variations between Pair of Cameras for Person Re-Identification
ICDSC 2019: Proceedings of the 13th International Conference on Distributed Smart CamerasArticle No.: 33, Pages 1–2https://doi.org/10.1145/3349801.3357135Person re-identification (re-id) remains an important task that aims to retrieve a person's images from an image dataset, given a probe image. The lack of cross-view (pose variations) training data and significant intra-class (domain) variations across ...
- ArticleSeptember 2008
Ear Recognition with Variant Poses Using Locally Linear Embedding
ICIC '08: Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Theoretical and Methodological IssuesPages 460–465https://doi.org/10.1007/978-3-540-87442-3_57Ear recognition with variant poses is an important problem. In this paper locally linear embedding (LLE) is introduced considering the advantages of LLE, by analyzing the shortcomings of most ear recognition methods currently when dealing with pose ...
