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024 7 _a10.1007/978-981-97-4249-3
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050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
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072 7 _aCOM004000
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082 0 4 _a006.3
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245 1 0 _aFrontiers of Computer Vision
_h[electronic resource] :
_b30th International Workshop, IW-FCV 2024, Tokyo, Japan, February 19-21, 2024, Revised Selected Papers /
_cedited by Go Irie, Choonsung Shin, Takashi Shibata, Kazuaki Nakamura.
250 _a1st ed. 2024.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2024.
300 _aXII, 161 p. 81 illus., 72 illus. in color.
_bonline resource.
336 _atext
_btxt
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337 _acomputer
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_2rdamedia
338 _aonline resource
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347 _atext file
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490 1 _aCommunications in Computer and Information Science,
_x1865-0937 ;
_v2143
505 0 _a -- 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.
520 _aThis book constitutes the revised selected papers from the 30th International Workshop on Frontiers of Computer Vision, IW-FCV 2024, held in Tokyo, Japan, in February 19-21, 2024. IW-FCV 2024 is an annual workshop that brings together researchers in the field of computer vision and artificial intelligence to share their research results. This workshop was started 30 years ago as a way to strengthen networking and share research results between Japanese and Korean researchers. It has since grown in scope and influence and has become an international event since 2017. 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). .
650 0 _aArtificial intelligence.
_93407
650 0 _aPattern recognition systems.
_93953
650 0 _aComputer vision.
_9104715
650 0 _aComputer engineering.
_910164
650 0 _aComputer networks .
_931572
650 0 _aSocial sciences
_xData processing.
_983360
650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aAutomated Pattern Recognition.
_931568
650 2 4 _aComputer Vision.
_9104720
650 2 4 _aComputer Engineering and Networks.
_9104721
650 2 4 _aComputer Application in Social and Behavioral Sciences.
_931815
700 1 _aIrie, Go.
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700 1 _aShin, Choonsung.
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700 1 _aShibata, Takashi.
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700 1 _aNakamura, Kazuaki.
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710 2 _aSpringerLink (Online service)
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773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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830 0 _aCommunications in Computer and Information Science,
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_9104729
856 4 0 _uhttps://doi.org/10.1007/978-981-97-4249-3
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