Computer Vision and Pattern Recognition in Environmental Informatics (inbunden)
Format
Inbunden (Hardback)
Språk
Engelska
Antal sidor
381
Utgivningsdatum
2015-11-30
Förlag
Idea Group,U.S.
Medarbetare
Bai, Xiao (ed.), Caelli, Terry (ed.), Zhou, Jun (ed.)
Illustrationer
black & white illustrations
Dimensioner
279 x 216 x 24 mm
Vikt
1294 g
Antal komponenter
1
Komponenter
HC gerader Rücken kaschiert
ISBN
9781466694354
Computer Vision and Pattern Recognition in Environmental Informatics (inbunden)

Computer Vision and Pattern Recognition in Environmental Informatics

Inbunden Engelska, 2015-11-30
2019
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Computer Vision and Pattern Recognition (CVPR) together play an important role in the processes involved in environmental informatics due to their pervasive, non-destructive, effective, and efficient natures. As a result, CVPR has made significant contributions to the field of environmental informatics by enabling multi-modal data fusion and feature extraction, supporting fast and reliable object detection and classification, and mining the intrinsic relationship between different aspects of environmental data. Computer Vision and Pattern Recognition in Environmental Informatics describes a number of methods and tools for image interpretation and analysis, which enables observation, modelling, and understanding of environmental targets. In addition to case studies on monitoring and modeling plant, soil, insect, and aquatic animals, this publication includes discussions on innovative new ideas related to environmental monitoring, automatic fish segmentation and recognition, real-time motion tracking systems, sparse coding and decision fusion, and cell phone image-based classification and provides useful references for professionals, researchers, engineers, and students with various backgrounds within a multitude of communities.
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Övrig information

Jun Zhou, School of Information and Communication Technology, Griffith University, Australia. Xiao Bai, School of Computer Science and Engineering, Beihang University, China. Terry Caelli, Department of Electrical and Electronic Engineering, The University of Melbourne, Australia.