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3D face clones can be used in many areas such as Human-Computer Interaction and as preprocessing in applications, such as emotion analysis. However, such clones should be structured and the model facial shape accurately while keeping the attributes of individuals. A structured mesh is a mesh with a known semantic and topological structure. We use a face model designed from a database of 3D face examples...
This paper presents an educational support system of skill succession with body motion based on 3D (three-dimensional) biomechanics evaluation. Skill succession using body motion seems different because human cannot attain the perfect copy or imitation of the reference skill motion. We call it the imperfect imitation problem. Then, we propose the 3D skeleton motion viewer and e-learning education...
We present a novel approach to recovering the qualitative 3-D part structure from a single 2-D image. We do not assume any knowledge of the objects contained in the scene, but rather assume that they are composed from a user-defined vocabulary of qualitative 3-D volumetric part categories input to the system. Given a set of 2-D part hypotheses recovered from an image, representing projections of the...
Extracting base mesh for different 3D faces is a crucial and fundamental problem in 3D facial correspondence research. Establishing 3D facial correspondence can contribute to many computer graphics tasks and applications such as statistical 3D face model building, facial animation, and facial texture transferring, etc, but it suffers from the fact that different 3D faces usually have inconsistent...
Visual-based 3D model retrieval presents great potential, for its broad application prospects and relatively high accuracy. A branch of visual-based methods utilizes scale invariant feature transform (SIFT) on 2D rendered images of a 3D model viewed from regularly sampled locations on a sphere, and then the bag-of-words framework is employed to improve the retrieval precision. However, in existing...
In this paper, we propose a CAD-based 6-DOF pose estimation design for random bin-picking of multiple different objects using a Kinect RGB-D sensor. 3D CAD models of objects are constructed via a virtual camera, which generates a point cloud database for object recognition and pose estimation. A voxel grid filter is suggested to reduce the number of 3D point cloud of objects for reducing computing...
Augmented Reality is an emerging technology and the applications of technology are still not fully unveiled. This paper explores a new application of augmented reality for a new direction in educational book publishing, which aims to bring interactive learning experience to life. The project takes printed images on book to the next level by applying Augmented Reality technology to provide a unique...
How to measure the perceptual quality of depth information in stereoscopic natural images, especially images undergoing different types of symmetric and asymmetric distortions, is a fundamentally important issue that is not well understood. In this paper, we present two of our recent subjective studies on depth quality. The first one follows the absolute category rating (ACR) protocol that is widely...
The paper analyzes methods and techniques of the information system design. The authors suggest new ways and mechanisms of information system development based on the interaction of the augmented reality technology and game engines. The software structural model takes into account the needs of a wide range of users supporting their training. The information and logical model of the system shows data...
Accurate modelling of the interaural time difference (ITD) is crucial for rendering localised sound. Parametric models allow personalising ITDs using anthropometrics. However, the mapping between anthropometric features and model parameters is not straightforward. Here, we propose deriving personalised ITD model parameters from a sphere fitted to a 3-D head scan. The proposed ITD personalisation is...
Several scientific domains operate on mesh data structures. Computations on meshes share a set of basic abstractions which relates to topological and geometric structure of meshes. Due to the complexity of modeling and querying meshes, the database community has neglected the need for a dedicated mesh database and in particular a high-level mesh query language. Currently, such computations is done...
The approach of this study which is the third step of the Perfect project is based on the ERTMS simulation framework compliant with the official European specifications. The aim of this study is triple.
3D model retrieval is a very important research topic both in computer vision and computer graphics field. Most previous work is focusing on defining robust shape descriptor in order to get better retrieving accuracy. Unlike these work, we propose distance filter to improve the retrieving accuracy when using the existing shape descriptors. The main idea of distance filter is to eliminate distance...
Chinese character inscription is an important part of Chinese culture. With China's increasing efforts to protect traditional culture, more and more Chinese character inscription images are captured and stored in the digital culture museum. How to search a Chinese character is becoming an interesting research topic. The most important thing for searching an image is to define the similarity between...
Aiming at the problem that existing virtual assembly interfaces lack scenario analysis capabilities and can't effectively perceive user's intentions, the scene knowledge model and the user knowledge model are proposed in this paper. We establish scene knowledge base and user knowledge database according to the scene knowledge model and the user knowledge model respectively. To solve the ambiguity...
This paper presents different approaches to extract information from large databases in order to process the gained information and find appropriate clusters. Starting from an unsorted collection of varying engineering parts in CAD format, the whole database will be automatically transformed to the non-proprietary IGES-format. Aided by Python-programmed macros controlling diverse measuring functions,...
In this paper, we tackle the problem of face classification and verification. We present a novel face representation method based on a Bayesian network. The model captures dependencies between 2D salient facial regions and the full 3D geometrical model of the face, which makes it robust to pose variations, and useable in unconstrained environments. We present experiments on the challenging databases...
In this article, we present the Yale-Carnegie Mellon University (CMU)-Berkeley (YCB) object and model set, intended to be used to facilitate benchmarking in robotic manipulation research. The objects in the set are designed to cover a wide range of aspects of the manipulation problem. The set includes objects of daily life with different shapes, sizes, textures, weights, and rigidities as well as...
In this paper, we propose a novel online multiobject learning and detection algorithm. From single seed images of the target objects, our algorithm detects these objects in the input sequence, and incrementally updates the databases with the detection results. Reasonably sized databases are maintained as graphs of the registered images, while new views of the objects are added as the detection proceeds...
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