منابع مشابه
Robot Motion Vision Part II: Implementation
The idea of Fixation introduced a direct method for general recovery of shape and motion from images without using either feature correspondence or optical flow [1,2]. There are some parameters which have important effects on the performance of fixation method. However, the theory of fixation does not say anything about the autonomous and correct choice of those parameters. This paper presents ...
متن کاملRobot Motion Vision Pait I: Theory
A direct method called fixation is introduced for solving the general motion vision problem, arbitrary motion relative to an arbitrary environment. This method results in a linear constraint equation which explicitly expresses the rotational velocity in terms of the translational velocity. The combination of this constraint equation with the Brightness-Change Constraint Equation solves the gene...
متن کاملRobot Control For Dynamic Environment Using Vision And Autocalibration
To enhance exibility and extend the area of applications for robotic systems, it is important that the systems are capable of handling uncertainties and respond to (random) human behaviour. A vision system must very often be able to work in a dynam-ical \noisy" world where the placement of objects can vary within certain restrictions. Furthermore it would be useful if the system is able to reco...
متن کاملEfficient model-based tracking for robot vision
This paper proposes a real-time, robust and efficient three-dimensional (3D) model-based tracking algorithm. A virtual visual servoing approach is used for monocular 3D tracking. This method is similar to more classical non-linear pose computation techniques. A concise method for derivation of efficient distance-to-contour interaction matrices is described. An oriented edge detector is used in ...
متن کاملVision-Based Humanoid Robot Navigation in a Featureless Environment
One of the most basic tasks for any autonomous mobile robot is that of safely navigating from one point to another (e.g. service robots should be able to find their way in different kinds of environments). Typically, vision is used to find landmarks in that environment to help the robot localise itself reliably. However, some environments may lack of these landmarks and the robot would need to ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEJ Transactions on Electronics, Information and Systems
سال: 1996
ISSN: 0385-4221,1348-8155
DOI: 10.1541/ieejeiss1987.116.9_1074