1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.CV2017
DepthSynth: Real-Time Realistic Synthetic Data Generation from CAD Models for 2.5D Recognition
Benjamin Planche, Ziyan Wu, Kai Ma +7
Recent progress in computer vision has been dominated by deep neural networks trained over large amounts of labeled data. Collecting such datasets is however a tedious, often impos…
cs.CV2014★ 1 cited
Geometric Abstraction from Noisy Image-Based 3D Reconstructions
Thomas Holzmann, Christof Hoppe, Stefan Kluckner +1
Creating geometric abstracted models from image-based scene reconstructions is difficult due to noise and irregularities in the reconstructed model. In this paper, we present a geo…