9–11 Jan 2027 · Tokyo, JP

9th-IPMV 2027

The 9th International Conference on Image Processing and Machine Vision (IPMV 2027) is an international academic conference to be held in Tokyo, Japan from 2027-01-09 to 2027-01-11. It is co-sponsored by Kogakuin University and targets researchers, scholars, professionals, students and especially PhD students and postdoctoral researchers working on image processing, machine vision and related signal-processing and learning methods. The conference includes peer-reviewed paper presentations whose accepted papers will be published in SPIE Conference Proceedings and indexed in major databases.

Last updated

Dates
9–11 Jan 2027
Venue
Kogakuin University (Shinjuku Campus)
Location
Tokyo, JP
Frequency
Annual
Audience
Trade
Duration
3 days
Scale
International
IT & SoftwarePackaging & PrintingMedia & Entertainment
Event website

Compiled from public sources and periodically reviewed and updated. This information is provided for general guidance only and may be incomplete or out of date — please verify all details directly with the organizer or venue before relying on them.

About 9th-IPMV 2027

9th-IPMV 2027 is an international trade show in Tokyo, Japan for the IT & Software and Packaging & Printing industries. The 2027 edition runs 9–11 Jan 2027 at Kogakuin University (Shinjuku Campus).

Known editions

Venue

Kogakuin University (Shinjuku Campus)

Tokyo, Tokyo, JP

Exhibitors

We haven't indexed the exhibitors for this event yet. We add them as events are confirmed and rosters are published — please check back soon.

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Frequently asked questions

When is 9th-IPMV 2027?
9th-IPMV 2027 runs 9–11 Jan 2027 at Kogakuin University (Shinjuku Campus).
Where is 9th-IPMV 2027 held?
9th-IPMV 2027 is held at Kogakuin University (Shinjuku Campus) in Tokyo, Japan.
Is 9th-IPMV 2027 worth attending?
9th-IPMV 2027 is an international trade show for the IT & Software and Packaging & Printing industries, so it is most relevant to exhibitors and buyers in those industries. Whether it is worth attending depends on your objectives, but its scale and sector focus are a useful guide.

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