Abs t r ac t . This paper presents an analysis-by-image-synthesis framework of shape and pose estimation of 3D multi-part objects, whose purpose is to map objects in the real world into virtual environments. In general, complex 3D multi-part objects cause serious self-occlusion and non-rigid motion. To deal with the occlusion among them, we employ both multiple calibrated cameras and time-varyi...

Based on image processing technology, the detection, classification and feature extraction for plant grain shape are performed in this paper. Taking rice grain as an example, the shape detection and description method of similar round object are studied firstly. Then a grain shape description method based on 8 feature points of rice grain boundary is proposed. Aiming at rice seed detection, a s...

Let X1, X2, ..., Xr be the first r order statistics from a sample of size n from the generalized exponential distribution with shape parameter θ. In this paper, we consider a Bayesian approach to predicting future order statistics based on the observed ordered data. The predictive densities are obtained and used to determine prediction intervals for unobserved order statistics for one-sample ...

The Kolmogorov-Smirnov test determines the consistency of empirical data with a particular probability distribution. Often, parameters in the distribution are unknown, and have to be estimated from the data. In this case, the Kolmogorov-Smirnov test depends on the form of the particular probability distribution under consideration, even when the estimated parameter-values are used within the di...

We present an approach for recognizing and classifying moving vehicles in monocular images sequences of traac scenes recorded by a stationary camera. A generic vehicle model, represented by a 3D polyhedral model described by 12 length parameters, is used to cover the diierent shapes of road vehicles. The object recognition process is initialized by formulating a model hypothesis using a referen...

From a recorded speech signal, we propose to estimate a shape parameter of a glottal model without estimating his time position. Indeed, the literature usually propose to estimate the time position first (ex. by detecting Glottal Closure Instants). The vocal-tract filter estimate is expressed as a minimum-phase envelope estimation after removing the glottal model and a standard lips radiation m...

Parameter estimation for the K distribution is an essential part of the statistical analysis of non-Rayleigh sonar reverberation or clutter for performance prediction, estimation of scattering properties, and for use in signal and information processing algorithms. Computational issues associated with maximum likelihood (ML) estimation techniques for K-distribution parameters often force the us...