CFP – CVPR 2022 Workshop on Image Matching: Local Features and Beyond

CVPR 2022 Workshop on Image Matching: Local Features and Beyond

Workshop website: https://image-matching-workshop.github.io
Challenge website: https://www.cs.ubc.ca/research/image-matching-challenge/
CMT website for paper submission: https://cmt3.research.microsoft.com/IMW2022

OVERVIEW

We are pleased to announce the fourth edition of the Image Matching Workshop, co-located with CVPR 2022. Its goal is to encourage and highlight novel strategies for image matching that deviate from and advance traditional formulations, with a focus on large-scale, wide-baseline matching for 3D reconstruction and pose estimation. This can be achieved by applying new technologies to sparse feature matching, or doing away with keypoints and descriptors entirely, such as with dense solutions.

We will also hold the fourth edition of the Image Matching Challenge, co-located with the workshop. Details will be announced in the coming weeks.

TOPICS

Workshop topics include (but are not limited to):
• Formulations of keypoint extraction and matching pipelines with deep networks.
• Application of geometric constraints into the training of deep networks.
• Leveraging additional cues such as semantics and mono-depth estimates.
• Methods addressing adversarial conditions where current methods fail (weather changes, day versus night, etc.).
• Attention mechanisms to match salient image regions.
• Integration of differentiable components into 3D reconstruction frameworks.
• Connecting local descriptors/image matching with global descriptors/image retrieval.
• Matching across different data modalities such as aerial versus ground.
• Large-scale evaluation of classical and modern methods for image matching, by means of our open challenge.
• New perception devices such as event-based cameras.
• Other topics related to image matching, structure from motion, mapping, and re-localization, such as privacy-preserving representations.

SUBMISSION

We invite paper submissions up to 8 pages, excluding references and acknowledgements. They should use the CVPR template and be submitted to the CMT site. Submissions must contain novel work and will be indexed in IEEE Xplore/CVF. They will receive at least two double-blind reviews.

IMPORTANT DATES

• Paper submission deadline: March 28, 2022.
• Notification to authors: April 4, 2022.
• Camera-ready deadline: April 7, 2022 (hard deadline on April 8, 2022).
• Workshop date: June 20, 2022, afternoon (exact schedule TBA)

ORGANIZERS

• Vassileios Balntas, Scape Technologies
• Vincent Lepetit, École des Ponts ParisTech
• Jiri Matas, Czech Technical University
• Dmytro Mishkin, Czech Technical University
• Johannes Schönberger, Microsoft
• Eduard Trulls, Google
• Kwang Moo Yi, University of British Columbia

More information at https://image-matching-workshop.github.io

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