Frontiers of Computer Vision: 30th International Workshop, IW-FCV 2024, Tokyo, Japan, February 19–21, 2024, Revised Selected Papers: Communications in Computer and Information Science, cartea 2143
Editat de Go Irie, Choonsung Shin, Takashi Shibata, Kazuaki Nakamuraen Limba Engleză Paperback – 30 iun 2024
The 12 full papers, carefully reviewed and selected from 61 submissions, primarily focus on the fundamental theories, techniques, and algorithms related to computer vision and image signal processing, with particular emphasis on practical applications. These papers deal with the following topics: Fundamentals and Theory (e.g., image filtering / enhancement / restoration, color and illumination analysis, and image coding), Computer Vision and Image Analysis (e.g., shape from-X, object detection and tracking, and deep learning for computer vision), Applications (e.g., image/video search and retrieval, surveillance, AR/VR/MR/HR, and bio-medical image analysis), and Recognition and Learning (e.g., 2D/3D object recognition, face and gesture recognition, and human pose estimation).
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Specificații
ISBN-13: 9789819742486
ISBN-10: 981974248X
Pagini: 176
Ilustrații: XII, 161 p. 81 illus., 72 illus. in color.
Dimensiuni: 155 x 235 x 10 mm
Greutate: 0.25 kg
Ediția:2024
Editura: Springer Nature Singapore
Colecția Springer
Seria Communications in Computer and Information Science
Locul publicării:Singapore, Singapore
ISBN-10: 981974248X
Pagini: 176
Ilustrații: XII, 161 p. 81 illus., 72 illus. in color.
Dimensiuni: 155 x 235 x 10 mm
Greutate: 0.25 kg
Ediția:2024
Editura: Springer Nature Singapore
Colecția Springer
Seria Communications in Computer and Information Science
Locul publicării:Singapore, Singapore
Cuprins
.- Tackling Background Misclassification in Box-supervised Segmentation: A Background Constraint Approach.
.- Clustering of Face Images in Video by Using Deep Learning.
.- Exploring the Impact of Various Contrastive Learning Loss Functions on Unsupervised Domain Adaptation in Person Re-identification.
.- Automatic Measured Drawing Generation for Mokkan Using Deep Learning.
.- Monocular Absolute 3D Human Pose Estimation with an Uncalibrated Fixed Camera.
.- Technical Skill Evaluation and Training using Motion Curved Surface in Considered Velocity and Acceleration.
.- A Benchmark for 3D Reconstruction with Semantic Completion in Dynamic Environments.
.- Framework for Measuring the Similarity of Visual and Semantic Structures in Sign Languages.
.- Human Facial Age Group Recognizer using Assisted Bottleneck Transformer Encoder.
.- Efficient Detection Model using Feature Maximizer Convolution for Edge Computing.
.- Spatial Attention Network with High Frequency Component for Facial Expression Recognition.
.- Minor Object Recognition from Drone Image Sequence.
.- Clustering of Face Images in Video by Using Deep Learning.
.- Exploring the Impact of Various Contrastive Learning Loss Functions on Unsupervised Domain Adaptation in Person Re-identification.
.- Automatic Measured Drawing Generation for Mokkan Using Deep Learning.
.- Monocular Absolute 3D Human Pose Estimation with an Uncalibrated Fixed Camera.
.- Technical Skill Evaluation and Training using Motion Curved Surface in Considered Velocity and Acceleration.
.- A Benchmark for 3D Reconstruction with Semantic Completion in Dynamic Environments.
.- Framework for Measuring the Similarity of Visual and Semantic Structures in Sign Languages.
.- Human Facial Age Group Recognizer using Assisted Bottleneck Transformer Encoder.
.- Efficient Detection Model using Feature Maximizer Convolution for Edge Computing.
.- Spatial Attention Network with High Frequency Component for Facial Expression Recognition.
.- Minor Object Recognition from Drone Image Sequence.