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.
A factorization method is proposed for recovering camera motion and object shapes from point correspondences observed in multiple images with perspective projection. For any factorization-based approaches for perspective images, scaling parameters called projective depths must be estimated in order to obtain a measurement matrix that could be decomposed into motion and shape. One possible approach,...
This research develops a robotic vision and manipulation technologies for random bin-picking. Especially, we focus on the manipulation technology where a dual-arm manipulator first picks up an object from the pile, then regrasps it from the right hand to the left hand, and finally places it to the fixture. We first explain an overview of our research project. Then, we explain about the grasp/manipulation...
In this paper, we propose a method of recognizing the state of a clothing item by using three-dimensional(3D) data observed from multiple directions in an integrated manner. The situation dealt with in this paper is that a clothing item is observed from different directions by rotating it along a vertical axis. First, sets of 3D points obtained from each observation are integrated on a depth buffer...
In this paper, we propose a method to recognize clothing shape based on strategic observation during handling. When a robot handles largely deformed objects like clothes, it is important for the robot to recognize a constantly varying shape. Large variation in shape and complex self-occlusion, however, make recognition very difficult. To address these difficulties, we have proposed a model-driven...
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.