Implicit Shape Models for 3D Shape Classification with a Continuous Voting Space
نویسندگان
چکیده
Recently, different adaptations of Implicit Shape Models (ISM) for 3D shape classification have been presented. In this paper we propose a new method with a continuous voting space and keypoint extraction by uniform sampling. We evaluate different sets of typical parameters involved in the ISM algorithm and compare the proposed algorithm on a large public dataset with state of the art approaches.
منابع مشابه
Pose Estimation and Shape Retrieval with Hough Voting in a Continuous Voting Space
In this paper we present a method for 3D shape classification and pose estimation. Our approach is related to the recently popular adaptations of Implicit Shape Models to 3D data, but differs in some key aspects. We propose to omit the quantization of feature descriptors in favor of a better descriptiveness of training data. Additionally, a continuous voting space, in contrast to discrete Hough...
متن کامل3D Models Recognition in Fourier Domain Using Compression of the Spherical Mesh up to the Models Surface
Representing 3D models in diverse fields have automatically paved the way of storing, indexing, classifying, and retrieving 3D objects. Classification and retrieval of 3D models demand that the 3D models represent in a way to capture the local and global shape specifications of the object. This requires establishing a 3D descriptor or signature that summarizes the pivotal shape properties of th...
متن کاملFurniture Recognition using Implicit Shape Models on 3D Data pdfsubject
The recognition and classification of objects in 3D scene data is still a very challenging task in computer vision. For robots acting in domestic environments especially the correct recognition of furniture objects is important because these belong to the main things they need to consider, either for navigating around or for using them. In this work an approach for the recognition of furniture ...
متن کاملApplication of Shape Analysis on 3D Images - MRI of Renal Tumors
The image recognotion and the classification of objects according to the images are more in focus of interests, especially in medicine. A mathematical procedure allows us, not only to evaluate the amount of data per se, but also ensures that each image is pro- cessed similarly. Here in this study, we propose the power of shape analysis, in conjunction with neural networks for reducing white n...
متن کاملTarget detection Bridge Modelling using Point Cloud Segmentation Obtained from Photogrameric UAV
In recent years, great efforts have been made to generate 3D models of urban structures in photogrammetry and remote sensing. 3D reconstruction of the bridge, as one of the most important urban structures in transportation systems, has been neglected because of its geometric and structural complexity. Due to the UAV technology development in spatial data acquisition, in this study, the point cl...
متن کامل