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.
Ensuring robustness in object recognition/pose estimation under a wide variation of environmental parameters, such as illumination, scale, perspective as well as occlusion, is still of a challenge in computer vision. One way to meet this challenge is by using multiple features/evidences that offer their own strengths against particular environmental variations. To this end, methods of how to choose...
We present a novel plane extraction algorithm based on coplanar line pairs for poorly textured scenes. Coplanar line pairs are extracted from intersecting line pairs and matched between two views, and their correspondences act as geometric primitives for 3D planar patch extraction. Each correspondence generates a plane hypothesis by estimating planar homography using the compatibility constraint with...
When track the recognized rigid target object for the Position Based Visual Servo(PBVS) system on the generic complex environment, existing optical flow based tracking approach has possibility to occur outlier due to its aperture problem which is occurred from drifting tracking points. In this paper, we propose the method how to remove the drifting tracking points using Kalman filter. We compare the...
The paper describes a robust method to extract 3D lines from stereo point clouds. This method combines 2D image information with 3D point clouds from a stereo camera. 2D lines are first extracted from the image in the stereo pair, followed by 3D line regression from the back-projected 3D point set of the images points in the detected 2D lines. In this paper, random sample consensus (RANSAC) is used...
A sequence of images in multiple views rather than a single image from a single view is of great advantage for robust visual recognition and pose estimation of 3D objects in noisy and visually not-so-friendly environments (due to texture, occlusion, illumination, and camera pose). In this paper, we present a particle filter based probabilistic method for recognizing an object and estimating its pose...
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.