In this paper, we propose a multi-camera face detection and recognition (MCFDR) pipeline, which consists of three main parts - face detection, face recognition, ...
In this paper, we propose a multi-camera face detection and recognition (MCFDR) pipeline, which consists of three main parts - face detection, face recognition ...
Jun 6, 2023 · In this paper, we propose a multi-camera face detection and recognition (MCFDR) pipeline, which consists of three main parts - face detection, face recognition ...
May 12, 2023 · In this project, a comprehensive system to detect faces in an unconstrained environment is structured with multi-camera video-based face ...
In this paper, we have proposed a multi-camera face detection and recognition pipeline for unconstrained environments. The pipeline has achieved mAP 0.495 ...
Aug 8, 2023 · In this project, the multi-camera face detection and recognition is developed in unconstrained environment setting.
We propose a people monitoring system to recognize people by probabilistic inference methods exploiting low-level facial feature and high-level domain ...
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Another solution for unconstrained face recognition is to build up 3D face models. In [9] a 3D morphable model was generated as a linear combination of basis ...
A framework for collaborative face recognition from video sequences in a multi-camera environment that allows for higher recognition performance
Oct 11, 2024 · This work explains the DeepFace algorithm and the Support Vector Machine (SVM) classifier, which are utilized for unconstrained face ...