The development of effective content-based multimedia search systems is an important
research issue due to the growing amount of digital audio-visual information. In the case of …

This letter introduces a robust representation of 3-D shapes, named DeepPano, learned with
deep convolutional neural networks (CNN). Firstly, each 3-D shape is converted into a …

Measuring the similarity between 3D shapes is a fundamental problem, with applications in
computer graphics, computer vision, molecular biology, and a variety of other fields. A …

In recent years, many shape representations and geometric algorithms have been proposed
for matching 3D shapes. Usually, each algorithm is tested on a different (small) database of …

As the number of 3D models available on the Web grows, there is an increasing need for a
search engine to help people find them. Unfortunately, traditional text-based search …

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复制以下网址继续阅读或下载: http://doc.docsou.com/b068052a8fcab7ab9dd2f5e37.html [此 …

Measuring the similarity between 3D shapes is a fundamental problem, with applications in
computer vision, molecular biology, computer graphics, and a variety of other fields. A …

This paper presents\bic (B order/I nterior pixel C lassification), a compact and efficient CBIR
approach suitable for broad image domains. It has three main components:(1) a simple and …

We present a novel 3D shape descriptor that uses a set of panoramic views of a 3D object
which describe the position and orientation of the object's surface in 3D space. We obtain a …

In this paper, we propose a method for three-dimensional (3D)-model indexing based on
two-dimensional (2D) views, which we call adaptive views clustering (AVC). The goal of this …