A Geometric Approach to 3D Object Comparison
نویسندگان
چکیده
Along with the development of 3D acquisition devices and methods and increasing number of available 3D objects, new tools are necessary to automatically analyze, search and interpret these models. In this paper we describe a novel geometric approach to 3D object comparison and analysis. To compare two objects geometrically we first properly position and align the objects. After solving this pose estimation problem, we generate specific distance histograms that define a measure of geometric similarity of the inspected objects. The geometric approach is very well suited for structures with moderate variance, e.g. bones, fruits, etc. The strength of the approach is proven through results of several tests we performed on different data sets.
منابع مشابه
بخشبندی معنادار مدل سهبعدی اجسام بر اساس استخراج برجستگیها و هسته جسم
3D model segmentation has an important role in 3D model processing programs such as retrieval, compression and watermarking. In this paper, a new 3D model segmentation algorithm is proposed. Cognitive science research introduces 3D object decomposition as a way of object analysis and detection with human. There are two general types of segments which are obtained from decomposition based on thi...
متن کاملGeometric 3D Comparison – an Application
With the advent of powerful 3D visualization, modeling and scanning techniques, there is an increasing need for tools supporting the automatic search for objects in 3D archives. In this paper we adopt our geometric approach to 3D object comparison to an industrial application of finding the best fitting shoe given a 3D foot scan. The geometric similarity estimation is well suited for search amo...
متن کاملA novel Local feature descriptor using the Mercator projection for 3D object recognition
Point cloud processing is a rapidly growing research area of computer vision. Introducing of cheap range sensors has made a great interest in the point cloud processing and 3D object recognition. 3D object recognition methods can be divided into two categories: global and local feature-based methods. Global features describe the entire model shape whereas local features encode the neighborhood ...
متن کاملA Hybrid 3D Colon Segmentation Method Using Modified Geometric Deformable Models
Introduction: Nowadays virtual colonoscopy has become a reliable and efficient method of detecting primary stages of colon cancer such as polyp detection. One of the most important and crucial stages of virtual colonoscopy is colon segmentation because an incorrect segmentation may lead to a misdiagnosis. Materials and Methods: In this work, a hybrid method based on Geometric Deformable Models...
متن کامل3D dense reconstruction from 2D video sequence via 3D geometric segmentation
3D reconstruction is a major problem in computer vision. This paper considers the problem of reconstructing 3D structures, given a 2D video sequence. This problem is challenging since it is difficult to identify the trajectory of each object point/pixel over time. Traditional stereo 3D reconstruction methods and volumetric 3D reconstruction methods suffer from the blank wall problem, and the es...
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 2001