SilhoNet-Fisheye: Adaptation of A ROI Based Object Pose Estimation Network to Monocular Fisheye Images
IEEE Robotics and Automation Letters(2020)
Abstract
There has been much recent interest in deep learning methods for monocular image based object pose estimation. While object pose estimation is an important problem for autonomous robot interaction with the physical world, and the application space for monocular-based methods is expansive, there has been little work on applying these methods with fisheye imaging systems. Also, little exists in the ...
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Key words
Pose estimation,Cameras,Nonlinear distortion,Convolution,Robot sensing systems
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