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.
This paper presents a novel method of wide-baseline image matching based on the intersection context of coplanar line pairs especially designed for dealing with poorly textured and/or non-planar structured scenes. The line matching in widely separated views is challenging because of large perspective distortion and the violation of the planarity assumption in local regions. To overcome the large perspective...
This paper presents a novel line matching method based on the intersection context of coplanar line pairs especially working in poorly textured indoor scenes. To overcome the matching ambiguity of single line segments, intersecting line pairs in 2D images are utilized for line matching. Coplanarity of the intersecting line pairs and their corresponding intersection context discriminate true intersecting...
Exploiting geometric features, such as points, straight or curved lines and corners, plays an important role in object recognition. In this paper, we present a model-based recognition of 3D objects using intersecting lines. We concentrate on using perpendicular line pairs to test recognition of a parallelepiped model and represent the visible face of the object. From 2D images and point clouds, first,...
We present two robust and novel algorithms to model a 3D environment using both intensity and range data provided by an off-the-shelf stereo camera. The main issue we need to address is that the output of the stereo system is both sparse and noisy. To overcome this limitation,, we detect planar patches in the environment by region segmentation in 2D and plane extraction in 3D. The extracted planar...
For robust 3D object recognition in the environment having diverse variances, it is necessary to increase the certainty by using consecutive scenes rather than using a single scene and combining different features. This paper proposes a novel 3D object recognition and pose estimation approach based on combining photometric feature (SIFT) and geometric feature (3D lines) in a sequence of scenes. In...
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.