… for face detection in digital images. Different challenges and applications of face detection
… At the end, different standard databases for face detection are also given with their features. …

… availability of face detection benchmark datasets… face detection performance and the real
world requirements. To facilitate future face detection research, we introduce the WIDER FACE …

… face detection framework that is capable of processing images extremely rapidly while
achieving high detection … allows the features used by our detector to be computed very quickly. …

… of face detection algorithms. Face detection is a necessary first-step in face recognition
systems, with the purpose of localizing and extracting the face region from the background. It also …

… face detection system. A retinally connected neural network examines small windows of an
image and decides whether each window contains a face… aligning positive face examples for …

… In this report, we present a brief survey on the latest development in face detection tech…
-based face detection schemes, which have evolved as the de-facto standard of face detection in …

… Abstract–Human face detection plays an important role in applications such as video … , face
recognition, and face image database management. We propose a face detection algorithm …

… techniques, beginning with the seminal Viola–Jones face detector methodology. … face
detection algorithms and recent benchmarking efforts, and discuss the future of face detection…

… -of-the art object detection methods to face detection and motivate more advanced … face
detection. Considering the remarkable performance of deep learning methods for face detection, …

… 4.3 Summary of the System Now, we summarize how to construct a detector pyramid for
multiview face detection: The full range of out-of-plane rotation is partitioned into one (for the top …