A review of face recognition technology
L Li, X Mu, S Li, H Peng - IEEE access, 2020 - ieeexplore.ieee.org
Face recognition technology is a biometric technology, which is based on the identification
of facial features of a person. People collect the face images, and the recognition equipment …
of facial features of a person. People collect the face images, and the recognition equipment …
[HTML][HTML] Perspectives in machine learning for wildlife conservation
Inexpensive and accessible sensors are accelerating data acquisition in animal ecology.
These technologies hold great potential for large-scale ecological understanding, but are …
These technologies hold great potential for large-scale ecological understanding, but are …
Multi-animal pose estimation, identification and tracking with DeepLabCut
Estimating the pose of multiple animals is a challenging computer vision problem: frequent
interactions cause occlusions and complicate the association of detected keypoints to the …
interactions cause occlusions and complicate the association of detected keypoints to the …
Deep learning as a tool for ecology and evolution
Deep learning is driving recent advances behind many everyday technologies, including
speech and image recognition, natural language processing and autonomous driving. It is …
speech and image recognition, natural language processing and autonomous driving. It is …
Deep learning‐based methods for individual recognition in small birds
Individual identification is a crucial step to answer many questions in evolutionary biology
and is mostly performed by marking animals with tags. Such methods are well‐established …
and is mostly performed by marking animals with tags. Such methods are well‐established …
[HTML][HTML] Diffractive deep neural networks at visible wavelengths
Optical deep learning based on diffractive optical elements offers unique advantages for
parallel processing, computational speed, and power efficiency. One landmark method is …
parallel processing, computational speed, and power efficiency. One landmark method is …
Emerging technologies for behavioral research in changing environments
The first response exhibited by animals to changing environments is typically behavioral.
Behavior is thus central to predicting, and mitigating, the impacts that natural and …
Behavior is thus central to predicting, and mitigating, the impacts that natural and …
Real-time goat face recognition using convolutional neural network
Automatic identification of individual animals is an important step towards achieving
accurate breeding histories, significant contributions to breeding and genetic management …
accurate breeding histories, significant contributions to breeding and genetic management …
Multi-animal pose estimation and tracking with DeepLabCut
Estimating the pose of multiple animals is a challenging computer vision problem: frequent
interactions cause occlusions and complicate the association of detected keypoints to the …
interactions cause occlusions and complicate the association of detected keypoints to the …
Automated facial recognition for wildlife that lack unique markings: A deep learning approach for brown bears
M Clapham, E Miller, M Nguyen… - Ecology and …, 2020 - Wiley Online Library
Emerging technologies support a new era of applied wildlife research, generating data on
scales from individuals to populations. Computer vision methods can process large datasets …
scales from individuals to populations. Computer vision methods can process large datasets …