10 research outputs found
A Benchmark and Evaluation of Non-Rigid Structure from Motion
Non-Rigid structure from motion (NRSfM), is a long standing and central
problem in computer vision, allowing us to obtain 3D information from multiple
images when the scene is dynamic. A main issue regarding the further
development of this important computer vision topic, is the lack of high
quality data sets. We here address this issue by presenting of data set
compiled for this purpose, which is made publicly available, and considerably
larger than previous state of the art. To validate the applicability of this
data set, and provide and investigation into the state of the art of NRSfM,
including potential directions forward, we here present a benchmark and a
scrupulous evaluation using this data set. This benchmark evaluates 16
different methods with available code, which we argue reasonably spans the
state of the art in NRSfM. We also hope, that the presented and public data set
and evaluation, will provide benchmark tools for further development in this
field