Conference Information

OMCV 2023: International Conference on Optics, Imaging and Computer Vision

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Submission Date:
2023-10-15
Notification Date:
Conference Date:
2023-12-08
Location:
Haikou, China
Viewed: 8576   Tracked: 1   Attend: 0

Conference Partner Index (CP-I)

43.0 / 100
Ranked #3,794 of 5,693 conferences · Top 67%

#189 of 246 in Computer Vision & Pattern Recognition

Limited evidence: this conference is not listed in CCF / ICORE / QUALIS and has no acceptance-rate data on file, so most of the score falls back to the neutral baseline.
Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%) No data - scored at the neutral baseline of 50 —
Community attention (10%)
17
Public record completeness (15%)
25

Inputs used: Researchers following it here: 1 · Researchers who opened this page in the past 24 months: 3

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 25% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-10-05

Call For Papers

OMCV 2023 (International Conference on Optics, Imaging and Computer Vision) is an academic conference held in Haikou, China on 2023-12-08. The paper submission deadline is 2023-10-15.

Optics lays the foundations of image processing and artificial vision, and provides great prospects for imaging and computer vision with the development of lasers, fiber optics, charge-coupled devices, etc. OMCV2023 calls for original work on imaging and vision technologies and applications and especially welcome interdisciplinary outputs on imaging and vision with optical backgrounds. All paper submissions will be peer reviewed by at least 2-3 independent reviewers based on research novelty, technical excellence, or unique applications in the real world. The topics of interest include, but are not limited to: Image and video processing Computer vision Scene modelling (including 3D optical imaging) Machine learning related to image Object recognition, tracking and motion analysis Vision-based human-computer interaction Spectral imaging Biomedical imaging Computer photography Ultra-high resolution electron microscopy
Last updated by Dou Sun on

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