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Acquisition of parameters for the Bidirectional Scattering Surface Reflectance Distribution Function (BSSRDF) has significant meanings in the study of computer graphics and vision research field. In this paper, we present an inverse rendering approach combined with a newly developed BSSRDF model, directional dipole model, for parameter estimation. To validate our algorithm, we estimate parameters...
Scientific space missions require a very high accuracy of positioning and orientation of the satellites in order to meet their objectives. Such accuracy can be obtained through a set of positioning thrusters, which need to be able to generate very low forces with high precision. This result can be obtained using cold gas thrusters. A method for the design and the forecast of the expected performance...
Tertiary protein structure prediction in silico is one of the most challenging problems in Structural Bioinformatics. The challenge arises due to the combinatorial explosion of plausible shapes, where a long amino acid chain ends up in one out of a vast number of three-dimensional conformations. The rules that govern the biological process are partially known, which difficult the development of robust...
Good results have been obtained for face alignment in a single image. This is beneficial from use of auxiliary models or prior information. Compared with a single face image, there is much information available in multiple face images of a person. Rigid joint alignment will use the information as a whole. The paper mainly contain two works, i.e. constructing rigid joint alignment of multiple face...
When calculating the radar cross section (RCS) of electrically large complex objects with computational electromagnetics tools, computer aided design models of the objects are required. Guidelines regarding the level of fidelity with which the models need to be constructed to achieve specific levels of accuracy, however, remain unclear. In this paper the effects of microgeometry features on the RCS...
Statistical craniofacial reconstruction methods have become an important research aspect in computer-aided craniofacial reconstruction. The existing joint statistical craniofacial reconstruction method based on PCA modeling is not scientific in terms of forensic anthropology, and its description ability for the shape correlation of skull and face is inadequate. So, partial least squares regression...
In the existing various kinds of active contour model methods about image segmentation, level set method has been widely used because of its powerful capabilities of topological transformation. Because of the global computation, level set has accurate shape description effect. On the other hand, it makes the segmentation result sensitive to noise. In this paper, we propose a simple modified method...
According to the influence of the stand spatial structure on the crown shape of Chinese fir, a new method of diversified 3D Chinese fir modeling based on spatial structure was proposed. In this study, spatial structure units that were divided by a reasonable method were selected in Chinese fir stands. And the data of spatial structure and crown shape in different units was surveyed. Two parameters...
This paper presents the results from a numerical study of the force characteristics of a DC solenoid actuator with three different shapes of the poles: a truncated cone, a cylindrical stepped shape and a flat shape. 3D computer models have been synthesized for the purpose in the software product ANSYS Maxwell, with the help of which the force characteristics at different supply voltages have been...
Object recognition or object's category recognition under varying conditions is one of the most astonishing capabilities of human visual system. The scientists in computer vision have been trying for decades to reproduce this ability by implementing algorithms and providing computers with appropriate tools. Hence, several intelligent systems have been proposed. To act in this field, numerous approaches...
Visual prosthesis based on penetrative optic nerve (ON) stimulation is an alternative approach to partially restore visual function. As one of the most important factors, pulse shape of electrical stimulus is a major consideration in the design of ON visual prosthesis. Animal experiments showed that the evoked responses in visual cortex (V1) to ON electrical stimulation are dependent on the stimulus...
Artists who create 3D models usually rely on the traditional method of direct mesh manipulation using basic operations such as translation, rotation, scaling, and extrusion. In some cases, creating a model in this manner requires performing many repetitive and precise actions, which makes a fully manual approach suboptimal. This paper explores an alternative concept of 3D modeling using scripts, which...
In this paper, a new 2D cepstral descriptor will be proposed for 3D model retrieval. In the proposed approach, the overlapping subband decomposition will be employed to divide each 2D spectrum into a number of overlapped subbands for further 2D cepstral descriptor extraction. Experiments conducted on the Princeton Shape Benchmark (PSB) database have shown that the proposed 2D cepstral descriptor yields...
In this paper, we present a visual learning framework to retrieve a 3D model and estimate its pose from a single image. To increase the quantity and quality of training data, we define our simulation space in the near infrared (NIR) band, and utilize the quasi-Monte Carlo (MC) method for scalable photorealistic rendering of manufactured components. Two types of convolutional neural network (CNN) architectures...
What makes a computational neuronal model ‘large scale’? Is it the number of neurons modeled? Or the number of brain regions modeled in a network? Most of the higher cognitive processes span across co-ordinated activity in a network of different brain areas. However at the same time, the basic information transfer takes place at a single neuron level, together with multiple other neurons. We explore...
This paper addresses the problem of grasping unknown objects with a humanoid robot. Conventional approaches fail when the shape, dimension or pose of the objects are missing. We propose a novel approach in which the grasping problem is solved by modeling the object and the volume graspable by the hand with superquadric functions. The object model is computed in real-time using stereo vision. Pose...
In this paper, a lightweight central pattern generator(CPG) model is designed for a snake-like robot, to achieve smooth transition of body shape and locomotion speed. First, based on the convergence behavior of the gradient system, a lightweight CPG model with fast computing time is designed and compared with other widely adopted CPG models. Then, the body shape and locomotion speed transitions in...
In the last few years, Convolutional Neural Networks (CNNs) had become the default paradigm to address classification problems, specially, but not only, in image recognition. This is mainly due to the high success rate that they provide. Despite there currently exist approaches that apply deep learning to the 3D recognition problem, they are either too slow for online uses or too error prone. To fill...
This paper deals with design of a new protective structure and completes the first step resulting to the preliminary draft of its shape and structural design. The process of designing the protective structure started with creation of the computational model solved in the software environment Ansys Fluent, where the most common cuboid shape of protective structure was assessed on the bases of output...
We verify the validity of the recently suggested universal superstatistical model for the modeling of the aggregated local network traffic. The empirical data set consists of 14 complete daily traffic logs obtained at the link between the Internet Service Provider (ISP) and the local subnet comprising part of the campus network of Ivanovo State University. We show explicitly that the superstatistical...
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