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.
In automatic image mosaic, the problem of solving and optimizing the modeled image parameters is usually a least square problem. In this paper an approach to solve the image parameterization based on the Levenberg-Marquardt algorithm is introduced. An appropriate camera parameterization model is firstly established, and the problem of optimization against the parameters is turned into a least square...
We present a new method for classification with structured latent variables. Our model is formulated using the max-margin formalism in the discriminative learning literature. We propose an efficient learning algorithm based on the cutting plane method and decomposed dual optimization. We apply our model to the problem of recognizing human actions from video sequences, where we model a human action...
In this contribution a robust approach for the estimation of the camera motion is presented. For this purpose, features from a monocular image sequence are extracted and evaluated so that the three dimensional path of a moving camera can be calculated. The algorithm gives robust results even in the presence of noise and independently moving objects. The two different categories of constraint equations...
This paper presents a wrapper approach to feature selection from image sequences and applies it to the facial expression classification problem. The pre-processing phase automatically scans image sequences and detects frames with maximum intensity of facial expression. The features are generated using the log-Gabor filters. A global optimization algorithm genetic algorithm (GA) is adopted to select...
Human hand gesture features extraction from the frame image sequences is one of the key jobs in the process of human hand tracking based upon particle filtering (PF), because it provides PF with key data for computing the weight value of a particle. In order to satisfy the need of real time human hand tracking, a novel features extraction approach, aimed at optimization of processing speed, is put...
This paper presents a new technique to generate triangular mesh surface parameterization and characterize 3-D surfaces by invariant spherical harmonic shape descriptors of objects with spherical topology. First, the surface is initially parameterized by defining a continuous one-to-one mapping from the surface of the object to the surface of a unit sphere. Then, the initial parameterization is optimized...
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.