The main idea and the driver of further research in the area of face recognition are security applications and human-computer interaction. Face recognition represents an intuitive and non-intrusive method of recognizing people and this is why it became one of three identification methods used in e...
人脸识别进展
These are recent advances in feature-based methods, algorithms dealing with critical environment conditions [11]. This paper mainly focuses on a two-stage classifier to improve recognition rate and solve problems such as pose expression and variant illumination. Show abstract Gait Recognition Based on...
Therefore, facemask could be a simple, wearable, in vivo, onsite and noninvasive sampler for collecting exhaled and inhalable compositions, and gain new insights into human health and environmental exposure. In this review, the recent advances in developments and applications of in vivo facemask ...
Face as a biometric attribute has been extensively studied over the past few decades. Even though, satisfactory results are already achieved in controlled environments, the practicality of face recognition in realistic scenarios is still limited by several challenges, such as, expression, pose, occlusio...
these parasites are broadly divided into two organizations, large and small piroplasms. Although all large forms reported to day have been ascribed to the genus spp. and spp. cannot be distinguished by microscopy and DNA-based molecular techniques are required for an accurate recognition [3,4]....
Chude-Olisah CC, Sulong G, Chude-Okonkwo UA, Hashim SZ (2014) Face recognition via edge-based Gabor feature representation for plastic surgery-altered images. EURASIP Journal on Advances in Signal Processing 2014:102 Google Scholar Delac K, Grgic M, Grgic S (2005) Independent comparative ...
论文阅读——Emotion Recognition in Conversation: Research Challenges, Datasets, and Recent Advances,程序员大本营,技术文章内容聚合第一站。
Going deeper into action recognition: a survey Image Vis. Comput. (2017) S. Zafeiriou et al. A survey on face detection in the wild: past, present and future Comput. Vis. Image Und. (2015) A. Brunetti et al. Computer vision and deep learning techniques for pedestrian detection and track...
I find the paper - Recent Advances in Deep Learning for Object Detection a really good answer to this quest. Let me summarize what I have learned, hopefully, elaborate in a more intuitive way.Text colors: pro/consDetection ParadigmsTwo-stage Detectors...