
We present a method to maximize feature matching
performance across stereo image pairs by varying
illumination. We perform matching between
views per lighting condition, finding unique SIFT
correspondences for each condition. These feature
matches are then collected together into a single
set, selecting those features which present the highest
quality match. Instead of capturing each view
under each illumination, we approximate lighting
changes with a pretrained relighting convolutional
neural network which only requires each view captured
under a single specified lighting condition. We
then collect the best of these feature matches over
all lighting conditions offered by the relighting network.
We further present an optimization to limit
the number of lighting conditions evaluated to gain
a specified number of matches. Our method is evaluated
on a set of indoor scenes excluded from training
the network with comparison to features extracted
from pretrained VGG16. Our method offers an average
5.5× improvement in number of correct matches
while retaining similar precision than by the original
lit image pair per scene alone.

Improving Image Matching with Varied Illumination

PS T5.6: Image Processing and Understanding by Learning

poster

ICPR 2020 is the premier international conference on Pattern Recognition, gathering leading researchers from around the world to present their latest achievements in Pattern Analysis and Recognition, applied Artificial Intelligence and Machine Learning. The topic of the year is " Putting Artificial intelligence to work on Patterns". 
For the first time, ICPR has employed a two-round review process similar to journal submissions, with new papers allowed to be submitted in either the first or second round and papers submitted in the first round and not accepted allowed to be revised and re-submitted for second round review. 

In this edition of the **ICPR 2020** Conference, there are 1407 Oral/Poster presentations organized in five Tracks: 
- Artificial Intelligence, Machine Learning for Pattern Analysis; 
- Biometrics, Human Analysis and Behavior Understanding; Computer Vision, Robotics and Intelligent Systems; 
- Document and Media Analysis; and 
- Image and Signal Processing. 

The **ICPR 2020** Main Conference program also includes 7 Keynotes from prominent world-renowned scientists, 8 Tutorials, 28 Demos, 8 Challenges, 2 Panels, as well as an Industry/Sponsor Exhibition. In addition, 41 Workshops on a range of important current and emerging research topics complete the ICPR 2020 program. 


Sarah Braeger

1

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Improving Image Matching with Varied Illumination

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