International audienceUsing spherical moments to estimate the rotation of camera is an effective method. However, after the camera rotates, the scene in the captured image will change, which will cause a certain error. This paper proposes a method to reduce this error by removing the non-common part betweenthe two images during rotation. Through multiple iterations, the error caused by scene changing will become very small. The experimental results using manual generated image are provided to show the efficiency of this proposed method
Projective transformation of spheres onto images produce ellipses, whose centers do not coincide wit...
IECON 2019, 45th Annual Conference of the IEEE Industrial Electronics Society (IES), Lisbon, Portuga...
IECON 2019, 45th Annual Conference of the IEEE Industrial Electronics Society (IES), Lisbon, Portuga...
International audienceUsing spherical moments to estimate the rotation of camera is an effective met...
International audiencePhotometric moments are global descriptors of an image that can be used to rec...
International audiencePhotometric moments are global descriptors of an image that can be used to rec...
International audienceThis paper presents a novel rotation estimation approach based on 3D mesh repr...
We present two estimation methods for camera rotation from two images obtained by the active camera ...
[出版社版]copyright(c)2000 IEICE許諾番号:08RB0010 http://search.ieice.org/index.htmlWe present two estimatio...
This thesis deals with the problem of location and motion estimation in the context of spherical ima...
Cette thèse traite du problème de la localisation et de l’estimation du mouvement de rotation dans l...
Determining the rotation angle between two images is essential when comparing images that may includ...
This paper reports theory and examples about the calibration and orientation of fixed but freely rot...
An algorithm is proposed in order to estimate the rotation between two frames of a scene. Only linea...
In this paper we describe a formulation of extrinsic camera calibration that decouples rotation from...
Projective transformation of spheres onto images produce ellipses, whose centers do not coincide wit...
IECON 2019, 45th Annual Conference of the IEEE Industrial Electronics Society (IES), Lisbon, Portuga...
IECON 2019, 45th Annual Conference of the IEEE Industrial Electronics Society (IES), Lisbon, Portuga...
International audienceUsing spherical moments to estimate the rotation of camera is an effective met...
International audiencePhotometric moments are global descriptors of an image that can be used to rec...
International audiencePhotometric moments are global descriptors of an image that can be used to rec...
International audienceThis paper presents a novel rotation estimation approach based on 3D mesh repr...
We present two estimation methods for camera rotation from two images obtained by the active camera ...
[出版社版]copyright(c)2000 IEICE許諾番号:08RB0010 http://search.ieice.org/index.htmlWe present two estimatio...
This thesis deals with the problem of location and motion estimation in the context of spherical ima...
Cette thèse traite du problème de la localisation et de l’estimation du mouvement de rotation dans l...
Determining the rotation angle between two images is essential when comparing images that may includ...
This paper reports theory and examples about the calibration and orientation of fixed but freely rot...
An algorithm is proposed in order to estimate the rotation between two frames of a scene. Only linea...
In this paper we describe a formulation of extrinsic camera calibration that decouples rotation from...
Projective transformation of spheres onto images produce ellipses, whose centers do not coincide wit...
IECON 2019, 45th Annual Conference of the IEEE Industrial Electronics Society (IES), Lisbon, Portuga...
IECON 2019, 45th Annual Conference of the IEEE Industrial Electronics Society (IES), Lisbon, Portuga...