41 citations · 85 across the 17 of their papers we have counts for
5 papers · 1 filter
Tangent Images for Mitigating Spherical Distortion
Marc Eder, Mykhailo Shvets, John Lim +1
In this work, we propose "tangent images," a spherical image representation that facilitates transferable and scalable computer vision. Inspired by techniques in cartog…
ViewSynth: Learning Local Features from Depth using View Synthesis
Jisan Mahmud, Rajat Vikram Singh, Peri Akiva +3
The rapid development of inexpensive commodity depth sensors has made keypoint detection and matching in the depth image modality an important problem in computer vision. Despite g…
Mapped Convolutions
Marc Eder, True Price, Thanh Vu +2
We present a versatile formulation of the convolution operation that we term a "mapped convolution." The standard convolution operation implicitly samples the pixel grid and comput…
Convolutions on Spherical Images
Marc Eder, Jan-Michael Frahm
Applying convolutional neural networks to spherical images requires particular considerations. We look to the millennia of work on cartographic map projections to provide the tools…
Recurrent Neural Network for (Un-)supervised Learning of Monocular VideoVisual Odometry and Depth
Rui Wang, Stephen M. Pizer, Jan-Michael Frahm
Deep learning-based, single-view depth estimation methods have recently shown highly promising results. However, such methods ignore one of the most important features for determin…