Abstract—We build on recent fast and accurate 3-D re-construction techniques to segment objects during scene re-construction. We take object outline information from change detection to build 3-D models of rigid objects and represent the scene as static and dynamic components. Object models are updated online during mapping, and can integrate segmentation information from sources other than change detection. I
Figure 1: Overview of proposed object segmentation algorithm using examples. Given a test image and ...
Image segmentation has mostly been approached in a bottom-up fashion using low-level cues such as co...
Robotic systems have shown impressive results at navigating in previously mapped areas, in particula...
Thesis (Ph.D.)--University of Washington, 2014In this work we tackle the problem of segmenting rigid...
An important problem in vision is to detect the presence of a known rigid, 3-d object. The general 3...
Object detection a b s t r a c t We propose an algorithm for accurate tracking of articulated object...
Creating accurate, current digital maps and 3-D scenes is a high priority in today’s fast changing e...
Advances in 3-dimensional (3D) computer vision have tremendously impacted the way that humans and co...
This paper presents the integration of 3D shape knowledge into a variational model for level set bas...
This thesis presents research work on deformable surface model for 3D object segmentation. Over the ...
International audiencePrecise knowledge of the real environment is a prerequisite for the integratio...
Abstract—In this paper, we present a system for automatically learning segmentations of objects give...
We propose a method to perform automatic segmentation of 3D scenes based on a standard classifier, w...
In this paper we present a method to combine the detection and segmentation of object categories fro...
Abstract — We propose a method to perform automatic seg-mentation of 3D scenes based on a standard c...
Figure 1: Overview of proposed object segmentation algorithm using examples. Given a test image and ...
Image segmentation has mostly been approached in a bottom-up fashion using low-level cues such as co...
Robotic systems have shown impressive results at navigating in previously mapped areas, in particula...
Thesis (Ph.D.)--University of Washington, 2014In this work we tackle the problem of segmenting rigid...
An important problem in vision is to detect the presence of a known rigid, 3-d object. The general 3...
Object detection a b s t r a c t We propose an algorithm for accurate tracking of articulated object...
Creating accurate, current digital maps and 3-D scenes is a high priority in today’s fast changing e...
Advances in 3-dimensional (3D) computer vision have tremendously impacted the way that humans and co...
This paper presents the integration of 3D shape knowledge into a variational model for level set bas...
This thesis presents research work on deformable surface model for 3D object segmentation. Over the ...
International audiencePrecise knowledge of the real environment is a prerequisite for the integratio...
Abstract—In this paper, we present a system for automatically learning segmentations of objects give...
We propose a method to perform automatic segmentation of 3D scenes based on a standard classifier, w...
In this paper we present a method to combine the detection and segmentation of object categories fro...
Abstract — We propose a method to perform automatic seg-mentation of 3D scenes based on a standard c...
Figure 1: Overview of proposed object segmentation algorithm using examples. Given a test image and ...
Image segmentation has mostly been approached in a bottom-up fashion using low-level cues such as co...
Robotic systems have shown impressive results at navigating in previously mapped areas, in particula...
DOI
Add to ORKG