Multi-scale Symmetry Detection of CAD models
نویسندگان
چکیده
منابع مشابه
Detecting design intent in approximate CAD models using symmetry
Finding design intent embodied as high-level geometric relations between a CAD model’s sub-parts facilitates various tasks such as model editing and analysis. This is especially important for boundary-representation models arising from, e.g., reverse engineering or CAD data transfer. These lack explicit information about design intent, and often the intended geometric relations are only approxi...
متن کاملSimilarity Detection Algorithms for CAD Models
This document presents two spectral methods for shape matching and recognition. Our first method computes the Laplace-Beltrami spectra on a domain to describe its shape. Since the spectrum is an isometry invariant and contains geometrical information, it is optimally suited for shape analysis and shape matching of geometric data. We have recently focused on global shape comparison with an appli...
متن کاملinvestigation of single-user and multi-user detection methods in mc-cdma systems and comparison of their performances
در این پایان نامه به بررسی روش های آشکارسازی در سیستم های mc-cdma می پردازیم. با توجه به ماهیت آشکارسازی در این سیستم ها، تکنیک های آشکارسازی را می توان به دو دسته ی اصلی تقسیم نمود: آشکارسازی سیگنال ارسالی یک کاربر مطلوب بدون در نظر گرفتن اطلاعاتی در مورد سایر کاربران تداخل کننده که از آن ها به عنوان آشکارساز های تک کاربره یاد می شود و همچنین آشکارسازی سیگنال ارسالی همه ی کاربران فعال موجود در...
Symmetry Detection in Large Scale City Scans
In this report we present a novel method for detecting partial symmetries in very large point clouds of 3D city scans. Unlike previous work, which was limited to data sets of a few hundred megabytes maximum, our method scales to very large scenes. We map the detection problem to a nearestneighbor search in a low-dimensional feature space, followed by a cascade of tests for geometric clustering ...
متن کاملGenerating Large Scale Image Datasets from 3D CAD Models
Datasets power computer vison research and drive breakthroughs. Larger and larger datasets are needed to better utilize the exponentially increasing computing power. However, datasets generation is both time consuming and expensive as human beings are required for image labelling. Human labelling cannot scale well. How can we generate larger image datasets easier and faster? In this paper, we p...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Computer-Aided Design and Applications
سال: 2018
ISSN: 1686-4360
DOI: 10.14733/cadaps.2019.50-66