Also, unlike a color camera, the multispectral camera used near-infrared bands, which are invisible to human vision. Speed The main advantage of MFPP over other FPP methods was that with each camera exposure one 3D representation of the object was acquired. Therefore, the MFPP system was ...
The rapid development of artificial intelligence has led to many traditional hardware limits being surpassed. Various deep learning networks have displayed excellent performance in the single-image super-resolution (SISR) task21,22,23which usually transforms a single low-resolution (LR) photograph to a...
in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition 770–778 (2016). He, K., Zhang, X., Ren, S. & Sun, J. Delving deep into rectifiers: Surpassing human-level performance on imagenet classification. in Proceedings of the IEEE International ...
Motions were captured using inertial measurement units as well as a Qualisys optical motion capture system and videos were recorded using two computer-vision cameras. For this study, we used recordings from the calibrated Point Gray cameras (PG1, PG2) during recording session F as the full set...
As the SIFT-flow [26] algorithm can effectively estimate the variation of two images, it is widely used in computer vision and computer graphics. For finger vein recognition, we also choose the SIFT-flow algorithm to obtain the displacement matrix between the images. SIFT-flow uses scale invari...
VISION - [] - A tool for annotating the sources of variation in single cell RNA-seq data in an automated, unbiased and scalable manner. It produces an interactive, low latency and feature rich web-based report that can be easily shared amongst researchers. zUMIs - [R, perl, shell] - zU...
会议名称: IAPR Asian Conference on Pattern Recognition;International Joint Workshop on Advanced Sensing/Visual Attention and Interaction;Workshop on Recent Advances in Computer Vision and Pattern Recognition 会议地点: Naha(JP) 收藏 引用 批量引用 报错 分享 ...
There are two broad categories of cell segmentation algorithms both based on supervised learning: (1) a combination of computer vision-based feature extraction and machine learning models like random forests and (2) convolutional neural network (CNN)-based deep learning models. The first group, incl...
However, despite the attractive vision, the integration of functional materials with a full spatial control onto non-conventional substrates as the case of optical fibers is not a trivial task. Most of the modern micro and nano technologies arise from the microelectronic industries and are conceived...
Non-human primates, such as macaque monkeys, have been extensively studied using single and multiple unit recordings. Much of what we know about vision, memory, attention, and executive functions comes from studies of the macaque (Figure 4.11). ...