The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Camera pose estimation is a basic step in many computer vision applications. In Tensor-based Novel View Synthesis (NVS), the simple camera pose estimation proposed by B. Rousso is limited to wider applications, for it needs a full calibration, and small rotation is assumed. To improve the synthesis performance, the author applies the simple six-point estimation algorithm to NVS, which is easy to understand...
PnP (perspective-n-point) problem is a classical problem in computer vision and photogrammetry. According to the number of corresponding points, PnP problem can be resolved linearly or nonlinearly. When the number of corresponding points is greater than or equal to 6, PnP problem can be formulated as an linear least squares problem and solution is unique in most cases; however, when the number of...
An industrial robot equipped with a camera system requires robust and accurate estimation of the pose of a target object. The pose estimation is achieved by a three-dimensional registration method. This paper presents this novel method for the registration of the rotated and translated part according to its camera images and three-dimensional model. The spatial registration parameters can be computed...
One of the serious problems in robotics applications is the estimation of the robot's pose. A lot of research effort has been put on finding the pose via inertial and proximity sensors. However, the last decades many systems adopt vision to estimate the pose, by using homographies and projection geometry. In this paper the pose estimation is achieved by the identification of a geometrically known...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.