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IPMV 2025 : 2025 7th International Conference on Image Processing and Machine Vision (IPMV 2025)

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Link: http://www.ipmv.org/
 
When Jan 10, 2025 - Jan 12, 2025
Where Hong Kong, China
Submission Deadline Aug 20, 2024
Categories    image processing   information science   machine learning   artificial intelligence
 

Call For Papers

Abbreviation: IPMV 2025
Full Name: 2025 7th International Conference on Image Processing and Machine Vision (IPMV 2025)
Hong Kong, China
January 10-12, 2025
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 Hong Kong, Hong Kong, China
ADD: Pok Fu Lam, Hong Kong Island, Hong Kong, China

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 10 (Fri.) : Pre-conference Registration
January 11 (Sat.) : Plenary Meeting & Parallel Sessions
January 12 (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/ipmv2025
or send your manuscript directly to conference at ipmv_conf@yeah.net

Contacts:
Ms. Ching Cao
E-mail: ipmv_conf@yeah.net
Tel: +86 130 9633 3337

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