您当前的位置: 首页 > 网页快照
VCSEL Addition Helps AI Light-Field Camera Read Facial Expressions | Research & Technology | Vision Spectra
image acquisition,image classification,AI,artificial intelligence,image recognition,facial recognition,Research & Technology,education,Asia Pacific,KAIST,South Korea,machine learning,lasers,VCSELs,NIR imaging,NIR imaging systems,light-field camera,light-field imaging,image reconstruction,lenses,microlenses,components" target="_blank"> image acquisition,image classification,AI,artificial intelligence,image recognition,facial recognition,Research & Technology,education,Asia Pacific,KAIST,South Korea,machine learning,lasers,VCSELs,NIR imaging,NIR imaging systems,light-field camera,light-field imaging,image reconstruction,lenses,microlenses,components" border="0" alt=""> VCSEL Addition Helps AI Light-Field Camera Read Facial Expressions . A team at the Korea Advanced Institute of Science and Technology (KAIST) has developed a technique for facial expression detection by merging near-infrared (NIR) light-field camera imaging techniques with AI technology. Unlike a conventional camera, the light-field camera contains micro-lens arrays in front of the image sensor, which makes the camera small enough to fit into a smartphone while allowing it to acquire the spatial and directional information of the light with a single shot. The technique can reconstruct images in a variety of ways, including multiviews, refocusing, and 3D image acquisition. However, the optical crosstalk between shadows caused by external light sources in the environment and the micro-lens has limited existing light-field cameras from being able to provide accurate image contrast and 3D reconstruction. The joint research teams of Ki-Hun Jeong and Doheon Lee from the KAIST Department of Bio and Brain Engineering applied a VCSEL in the NIR range to stabilize the accuracy of 3D image reconstruction that previously depended on environmental light. When an external light source is shone on a face at 0°, 30°, and 60° angles, the light-field camera reduces 54% of image reconstruction errors. Additionally, by inserting a light-absorbing layer for visible and NIR wavelengths between the micro-lens arrays, the team minimized optical crosstalk while increasing the image contrast by 2.1 times. A facial expression reading based on multilayer perceptron classification from 3D depth maps and 2D images obtained by NIR-based light-field camera. Courtesy of? KAIST. The researchers overcame the limitations of existing light-field cameras and was able to develop their NIR-based light-field camera (NIR-LFC) optimized for the 3D image reconstruction of facial expressions. Using the NIR-LFC, the team acquired high-quality 3D reconstruction images of facial expressions showing various emotions regardless of the lighting conditions of the surrounding environment. The team then used machine learning to distinguish facial expressions in the acquired 3D images at an average of 85% accuracy — a statistically significant figure compared with the use of 2D images. By calculating the interdependency of distance information that varies with facial expression in 3D images, the team was also able to identify the information that a light-field camera uses to distinguish human expressions. Mobile health care, field diagnosis, social cognition, and human-machine interactions are among the numerous potential applications that Jeong identified for the technique. The research was funded by the Ministry of Science and ICT (South Korea) and the Ministry of Trade, Industry, and Energy (South Korea). The research was published in Advanced Intelligent Systems ( www.doi.org/10.1002/aisy.202100182 ). Vision-Spectra.com Jan 2022 explore related content GLOSSARY artificial intelligence The ability of a machine to perform certain complex functions normally associated with human intelligence, such as judgment, pattern recognition, understanding, learning, planning and problem solving. Browse Cameras & Imaging , Lasers , Optical Components , Test & Measurement , and more . imaging cameras image acquisition image classification AI artificial intelligence image recognition facial recognition Research & Technology education Asia Pacific KAIST South Korea machine learning lasers VCSELs NIR imaging NIR imaging systems light-field camera light-field imaging image reconstruction lenses microlenses components The ability to post comments on Photonics.com is one benefit of a FREE Photonics.com membership. Please login or register, for FREE, to post comments: Login Register latest issue subscribe image acquisition,image classification,AI,artificial intelligence,image recognition,facial recognition,Research & Technology,education,Asia Pacific,KAIST,South Korea,machine learning,lasers,VCSELs,NIR imaging,NIR imaging systems,light-field camera,light-field imaging,image reconstruction,lenses,microlenses,components" target="_blank"> image acquisition,image classification,AI,artificial intelligence,image recognition,facial recognition,Research & Technology,education,Asia Pacific,KAIST,South Korea,machine learning,lasers,VCSELs,NIR imaging,NIR imaging systems,light-field camera,light-field imaging,image reconstruction,lenses,microlenses,components" border="0" alt=""> image acquisition,image classification,AI,artificial intelligence,image recognition,facial recognition,Research & Technology,education,Asia Pacific,KAIST,South Korea,machine learning,lasers,VCSELs,NIR imaging,NIR imaging systems,light-field camera,light-field imaging,image reconstruction,lenses,microlenses,components" target="_blank"> image acquisition,image classification,AI,artificial intelligence,image recognition,facial recognition,Research & Technology,education,Asia Pacific,KAIST,South Korea,machine learning,lasers,VCSELs,NIR imaging,NIR imaging systems,light-field camera,light-field imaging,image reconstruction,lenses,microlenses,components" border="0" alt=""> news VCSEL Addition Helps AI Light-Field Camera Read Facial Expressions . Ford and ADT Partner on Camera-Based Security Tech . . Khronos and EMVA Seek Collaborators on Camera API Working Group . mdGroup Acquires GeoCue Group . webinars Integrating Telecentric Optics for Machine Vision . Ruggedized Lens Designs for Emerging Applications . Imaging in the UV, IR, and Beyond: The Role of Optical Filters in Vision Applications . STANDARDS UPDATE: Vision Standards: An Overview of Global and A3 Developments .
From:
监测目标主题     
(1)  
(1)  
系统抽取主题     
(1)  
(1)  
(1)  
(1)  
(1)  
(1)  
(1)  
(1)  
(1)  
(1)  
(1)  
(1)  
(1)  
(1)  
(1)  
(1)  
(1)  
(1)  
(1)  
(1)  
(1)  
(1)  
(1)  
(1)  
(1)  
(1)  
(1)  
(1)  
(1)  
(1)  
(1)  
(1)  
(1)  
(1)  
(1)  
(1)  
(1)  
(1)