Estimating Small Differences in Car-Pose from Orbits
September 03, 2018 ยท Declared Dead ยท ๐ British Machine Vision Conference
"No code URL or promise found in abstract"
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Authors
Berkay Kicanaoglu, Ran Tao, Arnold W. M. Smeulders
arXiv ID
1809.00720
Category
cs.CV: Computer Vision
Citations
2
Venue
British Machine Vision Conference
Last Checked
3 months ago
Abstract
Distinction among nearby poses and among symmetries of an object is challenging. In this paper, we propose a unified, group-theoretic approach to tackle both. Different from existing works which directly predict absolute pose, our method measures the pose of an object relative to another pose, i.e., the pose difference. The proposed method generates the complete orbit of an object from a single view of the object with respect to the subgroup of SO(3) of rotations around the z-axis, and compares the orbit of the object with another orbit using a novel orbit metric to estimate the pose difference. The generated orbit in the latent space records all the differences in pose in the original observational space, and as a result, the method is capable of finding subtle differences in pose. We demonstrate the effectiveness of the proposed method on cars, where identifying the subtle pose differences is vital.
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