Serwis Infona wykorzystuje pliki cookies (ciasteczka). Są to wartości tekstowe, zapamiętywane przez przeglądarkę na urządzeniu użytkownika. Nasz serwis ma dostęp do tych wartości oraz wykorzystuje je do zapamiętania danych dotyczących użytkownika, takich jak np. ustawienia (typu widok ekranu, wybór języka interfejsu), zapamiętanie zalogowania. Korzystanie z serwisu Infona oznacza zgodę na zapis informacji i ich wykorzystanie dla celów korzytania z serwisu. Więcej informacji można znaleźć w Polityce prywatności oraz Regulaminie serwisu. Zamknięcie tego okienka potwierdza zapoznanie się z informacją o plikach cookies, akceptację polityki prywatności i regulaminu oraz sposobu wykorzystywania plików cookies w serwisie. Możesz zmienić ustawienia obsługi cookies w swojej przeglądarce.
We introduce a data-driven approach to complete partial 3D shapes through a combination of volumetric deep neural networks and 3D shape synthesis. From a partially-scanned input shape, our method first infers a low-resolution – but complete – output. To this end, we introduce a 3D-Encoder-Predictor Network (3D-EPN) which is composed of 3D convolutional layers. The network is...
3D printing by the FDM method represents a progressive parts manufacturing technology using available cheap 3D printers. Basic method consists in depositing fibers from the molten plastic material in layers. Common material of the blank is based on polymers. Starting geometry is a 3D digital model of a component created in CAD or obtained by reverse engineering. FDM 3D printing method has certain...
BIM process makes shift in design and construction process by promoting transparency and encouraging seamless global collaboration between team members. Although it is not as rigorous in western countries, BIM is starting to gain momentum in Indonesia as more projects nowadays requires BIM in their design-and-build process due to global market demands. This paper presents case study of BIM usage in...
Recent progress in sketch-based 3D shape retrieval creates a novel and user-friendly way to explore massive 3D shapes on the Internet. However, current methods on this topic rely on designing invariant features for both sketches and 3D shapes, or complex matching strategies. Therefore, they suffer from problems like arbitrary drawings and inconsistent viewpoints. To tackle this problem, we propose...
In this paper, a novel approach is presented to perform a deformable shape registration of workpiece geometries in robotic welding. Based on the free-form deformation (FFD) method, a surface-based extension FFDS is presented where the initial shape of the control points lattice corresponds to the shape of the surface to be deformed. A point-based registration is performed using the sum of least squares...
Gas-Liquid Cylindrical Cyclone (GLCC) separator is widely used in the petroleum industry with potential fields of applications. Its performance is strongly influenced by the inlet configuration thus the importance of the behavior of flow in the GLCC and the effects of different geometrical configurations for enhancing its separation are interested in this paper. The main goal of this paper is the...
A major challenge in visual highway traffic analytics is to disaggregate individual vehicles from clusters formed in dense traffic conditions. Here we introduce a data driven 3D generative reasoning method to tackle this segmentation problem. The method is comprised of offline (learning) and online (inference) stages. In the offline stage, we fit a mixture model for the prior distribution of vehicle...
Tangible physical maps couple physical landscape model with digital information and can become an invaluable asset for learning geography in an embodied way. The objective of this work is to create and evaluate an easily constructible 3D tangible map for elementary students. The main differentiations of our approach are two: a) we suggest a new interaction style on the map for learning geography purposes,...
A new rational quartic interpolating spline based on function values is constructed. The rational quartic interpolating spline curves have simple and explicit representation with parameters. The monotonicity-preserving, C2 continuity and boundedness of rational quartic interpolating spline curves are confirmed. Function value control and derivative value control of rational quartic interpolation spline...
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...
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 a new 3D information acquisition approach, which the aim is to reduce the amount of data to be processed in 3D shape recognition. This approach consists in extracting the 3D information from the deformations of the 2D lines projected on the 3D object, and transforms these deformations into a 1D signal. In order to simplify the extraction of descriptors of 3D shapes, the recognition...
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...
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...
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...
This paper presents a novel approach to estimating the continuous six degree of freedom (6-DoF) pose (3D translation and rotation) of an object from a single RGB image. The approach combines semantic keypoints predicted by a convolutional network (convnet) with a deformable shape model. Unlike prior work, we are agnostic to whether the object is textured or textureless, as the convnet learns the optimal...
We present an approach for reconstructing vehicles from a single (RGB) image, in the context of autonomous driving. Though the problem appears to be ill-posed, we demonstrate that prior knowledge about how 3D shapes of vehicles project to an image can be used to reason about the reverse process, i.e., how shapes (back-)project from 2D to 3D. We encode this knowledge in shape priors, which are learnt...
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...
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.