Shuhui Bu

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Content-based shape retrieval techniques can facilitate 3D model resource reuse, 3D model modeling, object recognition, and 3D content classification. Recently more and more researchers have attempted to solve the problems of partial retrieval in the domain of computer graphics, vision, CAD, and multimedia. Unfortunately, in the literature, there is little(More)
In this paper, we present a shift-invariant ring feature for 3D shape, which can encode multiple low-level descriptors and provide high-discriminative representation of local region for 3D shape. First, several iso-geodesic rings are created at equal intervals, and then low-level descriptors on the sampling rings are used to represent the property of a(More)
3D model segmentation avails to skeleton extraction, shape partial matching, shape correspondence, texture mapping, shape deformation, and shape annotation. Many excellent solutions have been proposed in the last decade. How to efficiently evaluate these methods and impartially compare their performances are important issues. Since the Princeton(More)
3D shape retrieval is a fundamental task in many domains such as multimedia, graphics, CAD, and amusement. In this paper, we propose a 3D object retrieval approach by effectively utilizing low-level patches of 3D shapes, which are similar as superpixels in images. These patches are first obtained by means of stably over-segmenting 3D shape, and then we(More)
—3-D shape analysis has attracted extensive research efforts in recent years, where the major challenge lies in designing an effective high-level 3-D shape feature. In this paper, we propose a multi-level 3-D shape feature extraction framework by using deep learning. The low-level 3-D shape descriptors are first encoded into geometric bag-of-words, from(More)
hree-dimensional shapes are used extensively in fields such as mechanical design, multimedia games, architecture, and medical diagnosis. 1 All of these applications need to store, recognize , and retrieve 3D models effectively and automatically. Because the characteristics of 3D shapes differ from those of text and images, traditional classification and(More)
By utilizing the dataset provided by 3DLife/Huawei Challenge of ACM Multimedia, we propose a refreshing application that automatically evaluates player's energy consumption in gaming scenarios by a model with tracked skeleton, which may help users to know their exercise effects and even diet or reduce their weights. We develop a program to compute the(More)
This paper presents a novel structural model based scene recognition method. In order to resolve regular grid image division methods which cause low content discriminability for scene recognition in previous methods, we partition an image into a pre-defined set of regions by superpixel segmentation. And then classification is modelled by introducing a(More)