Retrieval of shape from silhouette
نویسندگان
چکیده
منابع مشابه
Evaluation of a hypothesizer for silhouette-based 3-D object recognition
Shape retrieval and shape-based object recognition are closely related problems; however, they have di2erent task contexts, performance criteria, and database characteristics. In previous work, we proposed a method for similarity-based 2-D shape retrieval using scale-space part decompositions, part-frequency distributions, and structural indexing. In this paper, we evaluate the use of that shap...
متن کاملA new shape retrieval method using the Group delay of the Fourier descriptors
In this paper, we introduced a new way to analyze the shape using a new Fourier based descriptor, which is the smoothed derivative of the phase of the Fourier descriptors. It is extracted from the complex boundary of the shape, and is called the smoothed group delay (SGD). The usage of SGD on the Fourier phase descriptors, allows a compact representation of the shape boundaries which is robust ...
متن کاملبازیابی مبتنی بر شکل اجسام با توصیفگرهای بدست آمده از فرآیند رشد کانتوری
In this paper, a novel shape descriptor for shape-based object retrieval is proposed. A growing process is introduced in which a contour is reconstructed from the bounding circle of the shape. In this growing process, circle points move toward the shape in normal direction until they get to the shape contour. Three different shape descriptors are extracted from this process: the first descript...
متن کاملFast Correspondence-Based System for 2-D Shape Classification
In earlier work, we developed a fast method for 2-D shape retrieval based on point correspondences of silhouette contours. That method did not assume that the database shapes had class labels. If class label information is added, then the shape retrieval system can be used for 2-D shape classification. This paper explores this application, by extending our prior shape retrieval method to make u...
متن کاملView-Based 3D Objects Retrieval Using Geometric Features of Silhouette in Different Canonical Characterization
In this paper, we propose a view-based 3D objects retrieval method, where geometric features from each 3D object’s view contour from its silhouette are employed for comparison between two 3D objects. In this work, each 3D object is represented by a set of 2D views. Since 3D objects in the space may have an arbitrary position, the method treats a normalization step in which the models are transf...
متن کامل