Recently, some linear approaches to camera calibration from sphere images are proposed. In this paper, a novel linear approach is proposed by exploiting the identity constraint on the entries of the matrices for the sphere images, which is much simpler and more intuitive than previous linear ones. This novel algorithm has been tested in extensive experiments with respect to noise sensitivity.http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000240678200131&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701Computer Science, Artificial IntelligenceEICPCI-S(ISTP)
RGB-D cameras (or color-depth cameras) play key roles in many vision applications. A typical RGB-D c...
RGB-D cameras (or color-depth cameras) play key roles in many vision applications. A typical RGB-D c...
We will present the basic theory for the camera geometry. Our goal is camera calibration and the too...
A spherical object has been introduced into central catadioptric camera calibration through utilizin...
This paper introduces a novel approach for solving the problem of camera calibration from spheres. B...
Vision algorithms utilizing camera networks with a com-mon field of view are becoming increasingly f...
This paper addresses the problem of camera calibration from spheres. By studying the relationship be...
This paper proposes a novel calibration method for fisheye cameras using sphere images which is an e...
Abstract. RGB-Depth (or RGB-D) cameras are increasingly being adop-ted for real-world applications, ...
This paper proposes a stratified approach for camera calibration using spheres. Previous works have ...
International audienceRGB-Depth (or RGB-D) cameras are increasingly being adopted for real-world app...
We present a simple, accurate, and flexible method to calibrate intrinsic parameters of a camera tog...
A spherical object has been introduced into camera calibration for several years through utilizing t...
An important step in three-dimensional reconstruction and computer vision is camera calibration, who...
RGB-D cameras (or color-depth cameras) play key roles in many vision applications. A typical RGB-D c...
RGB-D cameras (or color-depth cameras) play key roles in many vision applications. A typical RGB-D c...
RGB-D cameras (or color-depth cameras) play key roles in many vision applications. A typical RGB-D c...
We will present the basic theory for the camera geometry. Our goal is camera calibration and the too...
A spherical object has been introduced into central catadioptric camera calibration through utilizin...
This paper introduces a novel approach for solving the problem of camera calibration from spheres. B...
Vision algorithms utilizing camera networks with a com-mon field of view are becoming increasingly f...
This paper addresses the problem of camera calibration from spheres. By studying the relationship be...
This paper proposes a novel calibration method for fisheye cameras using sphere images which is an e...
Abstract. RGB-Depth (or RGB-D) cameras are increasingly being adop-ted for real-world applications, ...
This paper proposes a stratified approach for camera calibration using spheres. Previous works have ...
International audienceRGB-Depth (or RGB-D) cameras are increasingly being adopted for real-world app...
We present a simple, accurate, and flexible method to calibrate intrinsic parameters of a camera tog...
A spherical object has been introduced into camera calibration for several years through utilizing t...
An important step in three-dimensional reconstruction and computer vision is camera calibration, who...
RGB-D cameras (or color-depth cameras) play key roles in many vision applications. A typical RGB-D c...
RGB-D cameras (or color-depth cameras) play key roles in many vision applications. A typical RGB-D c...
RGB-D cameras (or color-depth cameras) play key roles in many vision applications. A typical RGB-D c...
We will present the basic theory for the camera geometry. Our goal is camera calibration and the too...