Image Matching: Local Features & Beyond
CVPR 2019 Workshop
Traditional, keypoint-based formulations for image matching are still
very competitive on tasks such as Structure from Motion (SfM), despite
recent efforts on tackling pose estimation with dense networks. In
practice, many state-of-the-art pipelines still rely on methods that
stood the test of time, such as SIFT or RANSAC.
In this workshop, we aim to encourage novel strategies for image
matching that deviate from and advance traditional formulations, with
a focus on large-scale, wide-baseline matching for 3D reconstruction
or pose estimation. This can be achieved by applying new technologies
to sparse feature matching, or doing away with keypoints and
The workshop topics include (but are not limited to):
- Reformulating keypoint extraction and matching pipelines with deep
- Applying geometric constraints into the training of (sparse or
dense) deep networks.
- Leveraging additional cues such as semantics.
- Developing adversarial methods to deal with conditions where current
methods fail (weather changes, day versus night, etc.).
- Exploring attention mechanisms to match salient image regions.
- Integrating differentiable components into 3D reconstruction
- Matching across different data modalities such as aerial versus
University of Bordeaux
University of Victoria
The workshop will be held on Sunday morning, June 16, 2019.
Please contact us on firstname.lastname@example.org.
Chalmers University of Technology
Stanford & Berkeley
Czech Technical University
- February 28: Uploaded test data and submission instructions for the
- February 22: Moving the paper submission deadline to March 24.
- February 18: Confirmed Prof. Jiri Matas as a keynote speaker.
- February 15: Uploaded new draft with a CFP and some challenge entries. More to
- Paper submission deadline: March 24, 2019
- Notification to authors: April 5, 2019
- Camera-ready deadline: April 10, 2019
- Challenge and extended abstracts deadline: May 20, 2019
(Deadlines are 11:59PM in Pacific Time.)
The workshop features a challenge with multiple datasets and tasks.
More information TBA.
Please refer to the Call for Papers.
The prizes for the workshop challenge are sponsored by NVIDIA and Scape. Waiting
on confirmation from other partners. Details TBA.