In this paper, we propose a depth map estimation algorithm, based on Epipolar Plane Image (EPI) line extraction, that is able to correctly handle partially occluded objects in wide baseline camera setups. Furthermore, we introduce a descriptor matching technique to reduce the negative influence of inaccurate color correction and similarly textured objects on the depth maps. A visual comparison between an existing EPI-line extraction algorithm and our method is provided, showing that our method provides more accurate and consistent depth maps in most cases.SCOPUS: cp.pinfo:eu-repo/semantics/publishe
A novel multi-view region-based dense depth map estimation problem is presented, based on a modified...
We present a fast and accurate method for dense depth reconstruction, which is specifically tailored...
International audienceThis paper addresses the problem of depth estimation for every viewpoint of a ...
In this paper, a multi-resolution method for depth estimation from dense image arrays is presented. ...
Points matching between two or more images of a scene shot from different viewpoints is the crucial ...
In this paper we study how to compute a dense depth map with panoramic field of view (e.g., 360 degr...
Multicamera arrays are increasingly employed in both consumer and industrial applications, and vario...
SICE 2007 : International Conference on Instrumentation, Control and Information Technology , Sep 17...
This paper describes a method for generating dense depth maps given large numbers of images taken fr...
Depth estimation is a fundamental problem for light field photography applications. Numerous methods...
Points matching between two or more images of a scene shot from different viewpoints is the crucial...
In contrast to traditional imaging, the higher dimensionality of a light field offers directional in...
CRV 2005 : Second Canadian Conference on Computer and Robot Vision , May 9-11, 2005 , Victoria, Cana...
Stereomatching is an effective way of acquiring dense depth information from a scene when active mea...
Over the years, learning-based multi-view stereo methods have achieved great success based on their ...
A novel multi-view region-based dense depth map estimation problem is presented, based on a modified...
We present a fast and accurate method for dense depth reconstruction, which is specifically tailored...
International audienceThis paper addresses the problem of depth estimation for every viewpoint of a ...
In this paper, a multi-resolution method for depth estimation from dense image arrays is presented. ...
Points matching between two or more images of a scene shot from different viewpoints is the crucial ...
In this paper we study how to compute a dense depth map with panoramic field of view (e.g., 360 degr...
Multicamera arrays are increasingly employed in both consumer and industrial applications, and vario...
SICE 2007 : International Conference on Instrumentation, Control and Information Technology , Sep 17...
This paper describes a method for generating dense depth maps given large numbers of images taken fr...
Depth estimation is a fundamental problem for light field photography applications. Numerous methods...
Points matching between two or more images of a scene shot from different viewpoints is the crucial...
In contrast to traditional imaging, the higher dimensionality of a light field offers directional in...
CRV 2005 : Second Canadian Conference on Computer and Robot Vision , May 9-11, 2005 , Victoria, Cana...
Stereomatching is an effective way of acquiring dense depth information from a scene when active mea...
Over the years, learning-based multi-view stereo methods have achieved great success based on their ...
A novel multi-view region-based dense depth map estimation problem is presented, based on a modified...
We present a fast and accurate method for dense depth reconstruction, which is specifically tailored...
International audienceThis paper addresses the problem of depth estimation for every viewpoint of a ...