Real-Time Face Recognition Method Based on the Threshold Determination of the Positive Face Sequence

Shi, Xin; Wu, Jian; Ling, Xin; Zheng, Qiaoli; Pan, Xuan-qi; Zhao, Zhiqiang

doi:10.2991/978-94-6239-180-2_13

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2018

2022

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Cited by 4 publications

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“…The result shows that the proposed algorithm is very effective and recognizes many aspects of RGB-D face recognition. Shi et al (2016) introduced a face-monitoring approach based on the threshold determination of the positive face series. In this method, all faces with distinct angles are initially found and tracked.…”

Section: Literature Reviewmentioning

confidence: 99%

An Attendance System Using the Face Extraction and Recognition Technique Using PCA Algorithm

Mohammed

Alothman

2022

International Journal of Information Technology and Web Engineering

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Face detection is the most critical and first step in the attendance management system. The human face is non-rigid and has many differences in visual situations, scale, clarity, poses, and rotation. The precise and reliable identification was a challenge for the researcher. A variety of methods and techniques are suggested, but due to many variations, no one technique is very effective for all sorts of faces and pictures. Many techniques show good results under certain conditions, and others are successful for various types of images. Image-discriminating methods are commonly used for pattern and image analysis. Specific forms of prejudice are discussed.

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Section: Literature Reviewmentioning

confidence: 99%