An evaluation of local shape descriptors for 3D shape retrieval
نویسندگان
چکیده
1
منابع مشابه
D 2 . 1 – State of the Art Report on 3 D Object Digitisation and Shape Matching / Retrieval Methods for Unstructured 3 D data
D2.1 presents the STAR on 3D object digitisation, shape matching and retrieval methods, along with local shape descriptors for unstructured 3D data. The first part of this report focuses on current CH 3D object digitisation techniques and practices, including the handling of special CH object forms, technologies, typical acquisition problems related to the task at hand and an evaluation of rele...
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 کاملAn Evaluation of Local Feature Encodings for Shape Retrieval
Local features are successfully used in 3D shape retrieval by encoding features descriptors into global shape signatures. Previous 3D retrieval systems use different encoding methods, such as histogram encoding and Fisher encodings, making it difficult to evaluate one encoding technique against another. We perform a comparative analysis of four recent encoding methods when used in shape retriev...
متن کاملCompact Vectors of Locally Aggregated Tensors for 3D Shape Retrieval
During the last decade, a significant attention has been paid, by the computer vision and the computer graphics communities, to three dimensional (3D) object retrieval. Shape retrieval methods can be divided into three main steps: the shape descriptors extraction, the shape signatures and their associated similarity measures, and the machine learning relevance functions. While the first and the...
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 کامل