Adaptive Bayesian Contour Estimation: A Vector Space Representation Approach
نویسنده
چکیده
We propose a vector representation approach to contour estimation from noisy data. Images are modeled as random elds composed of a set of homogeneous regions; contours (boundaries of homogeneous regions) are assumed to be vectors of a subspace of L(T ) generated by a given nite basis; B-splines, Sinc-type, and Fourier bases are considered. The main contribution of the paper is a smoothing criterion, interpretable as a priori contour probability, based on the Kullback distance between neighboring densities. The maximum a posteriori probability (MAP) estimation criterion is adopted. To solve the optimization problem one is led to (joint estimation of contours, subspace dimension, and model parameters), we propose a gradient projection type algorithm. A set of experiments performed on simulated an real images illustrates the potencial of the proposed methodology
منابع مشابه
Style Adaptive Bayesian Tracking Using Explicit Manifold Learning
Characteristics of the 2D contour shape deformation in human motion contain rich information and can be useful for human identification, gender classification, 3D pose reconstruction and so on. In this paper we introduce a new approach for contour tracking for human motion using an explicit modeling of the motion manifold and learning a decomposable generative model. We use nonlinear dimensiona...
متن کاملA complete system for head tracking using Motion-Based Particle Filter and Randomly Perturbed Active Contour
Many real world applications in computer and multimedia such as augmented reality and environmental imaging require an elastic accurate contour around a tracked object. In the first part of the paper we introduce a novel tracking algorithm that combines a motion estimation technique with the Bayesian Importance Sampling framework. We use Adaptive Block Matching (ABM) as the motion estimation te...
متن کاملA new F0 contour control method based on vector representation of F0 contour
This paper proposes a new fundamental frequency(F0) contour control method based on vector representation of F0 contour. The main points of the proposed method are as follows; (1) Desired F0 contours are created by selecting or modifying natural F0 contours held in a speech database. (2) F0 contour selection is based on statistical estimation using a vector representation of F0 contour (3) The ...
متن کاملPerceptual grouping as Bayesian mixture estimation
Perceptual grouping is the process by which the visual system organizes the image into distinct objects or clusters. Here we briefly describe a Bayesian approach to grouping, formulating it as an inverse probability problem in which the goal is to estimate the organization that best explains the observed set of visual elements. We pose the problem as an instance of mixture modeling, in which th...
متن کاملComparison of MRAS Based Rotor Resistance Estimator Using Reactive Power and Flux Based Techniques for Space Vector PWM Inverter Fed Induction Motor Drives
The performance of Vector Controlled Induction Motor drive depends on the accuracy of rotor resistance which will vary with temperature and frequency. The MRAS approach using reactive power and flux as a state variable for rotor resistance estimation makes MRAS computationally simpler and easy to design. In this paper, Rotor Flux based MRAS (RF-MRAS) and Reactive Power based MRAS (RP-MRAS) for ...
متن کامل