Results 101 to 110 of about 429,065 (209)
Face recognition in dense crowd using deep learning approaches with IP camera
A facial recognition system is a biometric security and surveillance system that can identify and monitor individuals in a crowded area. Manually monitoring a crowded environment is a difficult and error-prone task.
Sobhana Mummaneni +5 more
doaj +1 more source
Global-Local Facial Fusion Based GAN Generated Fake Face Detection. [PDF]
Xue Z, Jiang X, Liu Q, Wei Z.
europepmc +1 more source
Improving face gender classification by adding deliberately misaligned faces to the training data
A novel method of face gender classifier construction is proposed and evaluated. Previously, researchers have assumed that a computationally expensive face alignment step (in which the face image is transformed so that facial landmarks such as the eyes ...
Zhang, Edmond Yiwen +3 more
core +1 more source
Wide aspect ratio matching for robust face detection. [PDF]
Luo S, Li X, Zhang X.
europepmc +1 more source
Three-Stage Recursive Learning Technique for Face Mask Detection on Imbalanced Datasets
In response to the COVID-19 pandemic, governments worldwide have implemented mandatory face mask regulations in crowded public spaces, making the development of automatic face mask detection systems critical.
Tsai, Chi-yi;Shih, Wei-hsuan
core +1 more source
An Advanced Chicken Face Detection Network Based on GAN and MAE. [PDF]
Ma X +7 more
europepmc +1 more source
Robust signatures for 3D face registration and recognition
PhDBiometric authentication through face recognition has been an active area of research for the last few decades, motivated by its application-driven demand.
Nair, Prathap M
core
Vision based landmark detection for UAV navigation [PDF]
The majority of Unmanned Aerial Vehicles (UAV) available today depend on Global Position Satellites (GPS) and inertial measurement units (IMU) for state estimation used in navigation and control.
Elliott, Alexander William
core
Face detection in untrained deep neural networks. [PDF]
Baek S, Song M, Jang J, Kim G, Paik SB.
europepmc +1 more source
Efficient face detection based on machine learning
碩士機器學習是一個能解決許多問題且非常有用及有效的演算法,在這篇論文中利用兩種機器學習演算法分別去偵測膚色及人臉。首先,在膚色的偵測的部份,為了解決膚色易受光源的影響,分別針對膚色群聚的特性而取的特徵,來克服光源強弱的變化及解決近似膚色的問題,在找到膚色的區域後,並得到一膚色二值化的圖,利用形態學中斷開及閉合的運算消除雜訊,再利用長及寬的比例1:4過濾出可能的區塊。在這些區塊之中使用20 x 20的滑動視窗去偵測每一個區塊中是否有人臉的存在,進一步去判別是否為左臉,正臉或者是右臉 ...
蔡群威; Tsai, Chine-wei
core

