Shape Recovery of Mail Pieces Using Deformable Models
نویسندگان
چکیده
A system for classification of mail pieces using range images is proposed. Position, orientation, size and shape parameters of volumetric models of single mail pieces are recovered using least squares minimization of a fitting function. The models are superquadrics with global deformations. The recovered parameters serve for classification. Comments University of Pennsylvania Department of Computer and Information Science Technical Report No. MSCIS-88-57. This technical report is available at ScholarlyCommons: http://repository.upenn.edu/cis_reports/681 SHAPE RECOVERY OF MAIL PIECES USING DEFORMABLE MODELS Franc Solina and Ruzena Bajcsy MS-CIS-88-57 GRASP LAB 150 Department of Computer and Information Science School of Engineering and Applied Science University of Pennsylvania Philadelphia, PA 191 04
منابع مشابه
Using Aspect Graphs to Control the Recovery and Tracking of Deformable Models
Active or deformable models have emerged as a popular modeling paradigm in computer vision. These models have the exibility to adapt themselves to the image data, ooering the potential for both generic object recognition and non-rigid object tracking. Because these active models are underconstrained, however, deformable shape recovery often requires manual segmentation or good model initializat...
متن کاملIntegration of quantitative and qualitative techniques for deformable model fitting from orthographic, perspective, and stereo projections
In this paper, we .synthesize a new approach to 3-0 object shape recovery b y integrating qualitative shape recovery techniques and quantitative physicsbased shape estimation techniques. Specifically, we ,first use qualitative shape recovery and recognition techniques to provide strong fitting constraints on physics-based deformable model recovery techniques. Secondly, we extend our previously ...
متن کاملA Hybrid Approach to the Recovery of Deformable Superquadric Models from 3D Data
The problem of recovering the shape of objects from three-dimensional data is important to many areas of computer graphics and vision. We present here a method for the recovery of single-part objects from unstructured 3D points sets, based on the fitting of deformable superquadric models. The limitations of least-squares minimisation as a technique for fitting superquadric models are discussed....
متن کاملInitialization of Deformable Models from 3D Data
The robustness of shape recovery based on deformable models depends in general on the relative di erence of position and topology of the model with respect to the data a close initialization with correct topology guaranties a proper recovery of the object Furthermore the closeness of the initial model greatly in uences the time of computation needed for the recovery In this paper we propose a m...
متن کاملStatistical-Based Deformable Models with Simultaneous Optimization of Object Gray-Level and Shape Characteristics
A statistical-based deformable model is being developed that improves upon existing point distribution models (PDMs). Existing PDM boundary finding techniques often suffer from the following shortcomings: (1) a priori local shape characteristics are not utilized, (2) global shape and gray-level information are treated independently during boundary optimization, and (3) there is no existing metr...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2014