3 accepted papers
Depth map estimation techniques from cameras often struggle to accurately estimate the depth of large textureless regions. In this work we present a vision-only method that accurately extracts planar priors from a viewed scene without making any assumptions of the underlying scene layout. Through a…
We propose a novel method for fitting multiple geometric models to multi-structural data via convex relaxation. Unlike greedy methods - which maximise the number of inliers - our approach efficiently searches for a soft assignment of points to geometric models by minimising the energy of the overall…
We propose an automatic, targetless, data-driven, extrinsic calibration method to calibrate push-broom 2D lidars with a multi-camera system. The calibration problem is decoupled into alternating optimisers over two hierarchical levels, where both levels are linked with a penalty term. The lower-leve…