SPP-Net: Deep absolute pose regression with synthetic views
Image based localization is one of the important problems in computer vision due to its wide
applicability in robotics, augmented reality, and autonomous systems. There is a rich set of
methods described in the literature how to geometrically register a 2D image wrt\a 3D
model. Recently, methods based on deep (and convolutional) feedforward networks (CNNs)
became popular for pose regression. However, these CNN-based methods are still less
accurate than geometry based methods despite being fast and memory efficient. In this work …
applicability in robotics, augmented reality, and autonomous systems. There is a rich set of
methods described in the literature how to geometrically register a 2D image wrt\a 3D
model. Recently, methods based on deep (and convolutional) feedforward networks (CNNs)
became popular for pose regression. However, these CNN-based methods are still less
accurate than geometry based methods despite being fast and memory efficient. In this work …
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