A unified representation for application of architectural constraints in large-scale mapping
This paper is about discovering and leveraging architectural constraints in large scale 3D reconstructions using laser. Our contribution is to offer a formulation of the problem which naturally and in a unified way, captures the variety of architectural constraints that can be discovered and applied...
Main Authors: | Amayo, P, Piniés, P, Paz, L, Newman, P |
---|---|
Format: | Conference item |
Published: |
IEEE
2016
|
Similar Items
-
Fast global labelling for depth-map improvement via architectural priors
by: Amayo, P, et al.
Published: (2018) -
Geometric multi-model fitting with a convex relaxation algorithm
by: Amayo, P, et al.
Published: (2018) -
Keep geometry in context: using contextual priors for very-large-scale 3D dense reconstructions
by: Tanner, M, et al.
Published: (2016) -
Large-scale outdoor scene reconstruction and correction with vision
by: Tanner, M, et al.
Published: (2020) -
CORAL: Fast, parallel multi model fitting with applications to mapping, perception and scene reconstruction and understanding
by: Amayo, P
Published: (2018)