IPMV 2027 | 2027 9th International Conference on Image Processing and Machine Vision

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IPMV 2027 | 2027 9th International Conference on Image Processing and Machine Vision

Website: http://www.ipmv.org/

Place

Tokyo, Japan

Conference Date

Jan 09 - Jan 11, 2027

Submission Deadline

Jul 20, 2026

Venue

Subjects: Computer Science and Technologies

Sponsorship: 

Indexing: EI Compendex,Scopus

Short Description


2027 9th International Conference on Image Processing and Machine Vision (IPMV 2027)
 
Publication:
Submitted papers will be peer-reviewed by technical program committees based on the paper's topic, quality, etc. Accepted and presented papers will be published into Conference Proceedings, and submitted for Scopus, Ei Compendex, etc.
 
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 9 (Sat.) : Pre-conference Registration
January 10 (Sun.) : Plenary Meeting & Parallel Sessions
January 11 (Mon.) : One Day Tour (Optional, 150USD apiece)
 
Submission:
Full Paper (publication and oral presentation)
Abstract (oral presentation only)
Electronic Submission System (.pdf)  
http://confsys.iconf.org/submission/ipmv2027
or send your manuscript directly to conference at ipmv_conf@yeah.net
 
Contacts:
Ms. Ching Cao 
 

Contact

E-mail: ipmv_conf@yeah.net

Tel: +86-13290000003

Rank: ★★★★

Indexing

Online Proceedings:

Indexing Proof: View

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