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A large lecture theatre is fitted with a computer-driven overhead projector and is used to display the files to over one hundred students. The image files and a text file commentary are provided, via automated routines on department computers, for students to copy onto their own discs. The ...
Belarusian Association for Image Analysis & Recognition, Belarus IAENG Society of Computer Science, USA Australian Computer Society, Australia British Computer Society, Europe IEEE Computer Society, USA Track 16: Human-Computer Interaction Human-Computer Interaction (HCI) is a discipline concerned with the...
GeoCalib: Learning Single-image Calibration with Geometric Optimization (ECCV 2024) Python516Apache-2.031100UpdatedDec 20, 2024 pyceresPublic Factor graphs with Ceres in Python C++272Apache-2.03652UpdatedDec 19, 2024 NoPoSplatPublic No Pose, No Problem: Surprisingly Simple 3D Gaussian Splats from Spar...
1980-1981 IEEE Computer Society Scholarships for Members of Student Branch Chapters of the Computer society 来自 IEEEXplore 喜欢 0 阅读量: 29 作者: None 摘要: Not Available 关键词: ieee computer society DOI: 10.1109/MC.1979.1658574 年份: 1979 ...
Lightweight deep hybrid CNN with attention mechanism for enhanced underwater image restoration V. Karthikeyan S. Praveen S. Sudeep Nandan Research30 January 2025 Enriching image description generation through multi-modal fusion of VGG16, scene graphs and BiGRU ...
Figure 1.1.Example computer vision application—face detection/recognition. The left image shows an example where the camera automatically adjusts the focus based on detected faces. The right image shows an example of auto login with recognized faces. ...
CHI ’23: Proceedings of the ACM Conference on Human Factors in Computing Systems | April 2023 Project Decorative, Evocative, and Uncanny: Reactions on Ambient-to-Disruptive Health Notifications via Plant-Mimicking Shape-Changing Interfaces Jarrett G.W. Lee, Bongshin Lee, Eun Kyoung Choe Proc...
pixels=plt.imread('class.jpg')# read image detector=MTCNN()# create detector faces=detector.detect_faces(pixels)# detect faces draw_faces(pixels,faces)# display faces [$[Get Code]] The all but one of the student faces are recognized and the bounding boxes are displayed. ...
However, there exist two main challenges with patch based descriptors, (1) the affine patch over the keypoint can produce similar descriptors under entirely different scene or the context which causes "ambiguity", and (2) the descriptors are not enough "distinctive" under image noise. Due to ...