3D scene modeling has long been a fundamental problem in computer graphics and computer vision. With the popularity of consumer-level RGB-D cameras, there is a growing interest in digitizing real-world indoor 3D scenes. However, modeling indoor 3D scenes remains a challenging problem because of the complex structure of interior objects and poor quality of RGB-D data acquired by consumer-level sensors. Various methods have been proposed to tackle these challenges. In this survey, we provide an overview of recent advances in indoor scene modeling techniques, as well as public datasets and code libraries which can facilitate experiments and evaluation
International audienceThe three-dimensional reconstruction of a scene is essential for the interpret...
© 2016 IEEE. We introduce Scenenet, a framework for generating high-quality annotated 3D scenes to a...
With the availability of low-cost and compact 2.5/3D visual sensing devices, computer vision communi...
RGB-D sensors are novel sensing systems that capture RGB images along with pixel-wise depth informat...
capturing RGBD image (middle) with local variation. The objects in green are seen as static referenc...
International audienceIn this work, a RGB-D input stream is utilized for GPU-boosted 3D reconstructi...
We present a novel solution to automatic semantic modeling of in-door scenes from a sparse set of lo...
Access to large, diverse RGB-D datasets is critical for training RGB-D scene understanding algorithm...
This paper presents a novel 3D modeling framework that reconstructs an indoor scene as a structured ...
XXIII ISPRS Congress, 12-19 July 2016, Prague, Czech RepublicRGB-D sensors are novel sensing systems...
This paper presents a novel RGB-D 3D reconstruction algorithm for the indoor environment. The method...
Swadzba A, Wachsmuth S. 3D Indoor Scenes Database. Bielefeld University; 2009.This database was coll...
Figure 1: Lab scene. (a) Captured images (Only RGB data are shown). (b) Reconstruction result. Only ...
Updating a global 3D model with live RGB-D measure-ments has proven to be successful for 3D reconstr...
In computer vision, holistic indoor scene understanding from images is a complex and important task ...
International audienceThe three-dimensional reconstruction of a scene is essential for the interpret...
© 2016 IEEE. We introduce Scenenet, a framework for generating high-quality annotated 3D scenes to a...
With the availability of low-cost and compact 2.5/3D visual sensing devices, computer vision communi...
RGB-D sensors are novel sensing systems that capture RGB images along with pixel-wise depth informat...
capturing RGBD image (middle) with local variation. The objects in green are seen as static referenc...
International audienceIn this work, a RGB-D input stream is utilized for GPU-boosted 3D reconstructi...
We present a novel solution to automatic semantic modeling of in-door scenes from a sparse set of lo...
Access to large, diverse RGB-D datasets is critical for training RGB-D scene understanding algorithm...
This paper presents a novel 3D modeling framework that reconstructs an indoor scene as a structured ...
XXIII ISPRS Congress, 12-19 July 2016, Prague, Czech RepublicRGB-D sensors are novel sensing systems...
This paper presents a novel RGB-D 3D reconstruction algorithm for the indoor environment. The method...
Swadzba A, Wachsmuth S. 3D Indoor Scenes Database. Bielefeld University; 2009.This database was coll...
Figure 1: Lab scene. (a) Captured images (Only RGB data are shown). (b) Reconstruction result. Only ...
Updating a global 3D model with live RGB-D measure-ments has proven to be successful for 3D reconstr...
In computer vision, holistic indoor scene understanding from images is a complex and important task ...
International audienceThe three-dimensional reconstruction of a scene is essential for the interpret...
© 2016 IEEE. We introduce Scenenet, a framework for generating high-quality annotated 3D scenes to a...
With the availability of low-cost and compact 2.5/3D visual sensing devices, computer vision communi...