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IPMV 2024 : 2024 6th International Conference on Image Processing and Machine Vision (IPMV 2024)

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Link: http://www.ipmv.org/
 
When Jan 12, 2024 - Jan 14, 2024
Where Macau, China
Submission Deadline Aug 20, 2023
Categories    image processing   computer science   software engineering   simulation
 

Call For Papers

**IPMV 2024-Ei Compendex and Scopus

Abbreviation: IPMV 2024
Full Name: 2024 6th International Conference on Image Processing and Machine Vision (IPMV 2024)
Macau, China
January 12-14, 2024
http://www.ipmv.org/


Publication:
Accepted and presented papers will be published into Conference Proceedings, which will be submitted and reviewed by Ei Compendex and Scopus Index.

Conference Venue:
University of Macau
Avenida da Universidade
Taipa, Macau, China
Web: www.um.edu.mo

Call For Paper:
Sensing, Representation, Modeling, and Registration
Synthesis, Rendering, and Visualization
Texture Image Representation and Classification
Computational Imaging
Restoration and Enhancement
Filtering and Multiresolution Processing
Interpolation, Super-resolution, and Mosaicing
Compression, Coding, and Transmission
Color, Multispectral, and Hyperspectral Imaging
Stereoscopic, Multiview, and 3D Processing
Statistics and machine learning for vision
Stereo, calibration, geometric modelling and processing
Face and gesture recognition
Early and biologically inspired vision
Motion, flow and tracking
Segmentation and grouping
Model-based vision
Image processing techniques and methods
Texture, shape and colour
Video analysis
More topics: http://www.ipmv.org/cfp.html

Agenda Overview:
January 12 (Fri.) : Pre-conference Registration
January 13 (Sat.) : Plenary Meeting & Parallel Sessions
January 14 (Sun.) : One Day Tour (Registration required)

Submission:
Full Paper (publication and oral presentation)
Abstract (oral presentation only)
Electronic Submission System (.pdf)
http://confsys.iconf.org/submission/ipmv2024
or send your manuscript directly to conference at ipmv_conf@yeah.net

Contacts:
Ms. Ching Cao
E-mail: ipmv_conf@yeah.net
Tel: (0086) 130 9633 3337

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