Human Modelling: A Constraint-Based Feature Modelling Approach

Author(s):  
Terry K. K. Chang ◽  
Brian C. H. Ho ◽  
M. M. F. Yuen

Constraint-based feature modelling is a promising approach for object modelling. During the feature creation and modification, the relationships between features are well described and maintained. This eliminates the tedious work for constructing a complex feature-based model and provides an efficient method for shape modification. However, most of the feature representation schemes cover only the regular object domain. The application in sculpture object domain has been put aside. In this paper, the constraint-based feature modelling approach for sculpture object such as human body will be introduced.

Author(s):  
Jianke Zhu

Visual odometry is an important research problem for computer vision and robotics. In general, the feature-based visual odometry methods heavily rely on the accurate correspondences between local salient points, while the direct approaches could make full use of whole image and perform dense 3D reconstruction simultaneously. However, the direct visual odometry usually suffers from the drawback of getting stuck at local optimum especially with large displacement, which may lead to the inferior results. To tackle this critical problem, we propose a novel scheme for stereo odometry in this paper, which is able to improve the convergence with more accurate pose. The key of our approach is a dual Jacobian optimization that is fused into a multi-scale pyramid scheme. Moreover, we introduce a gradient-based feature representation, which enjoys the merit of being robust to illumination changes. Furthermore, a joint direct odometry approach is proposed to incorporate the information from the last frame and previous keyframes. We have conducted the experimental evaluation on the challenging KITTI odometry benchmark, whose promising results show that the proposed algorithm is very effective for stereo visual odometry.


Author(s):  
Madhu S. Medichalam ◽  
Jami J. Shah ◽  
Roshan D’Souza

The proliferation of different feature based systems has made feature data exchange an important issue. Unlike geometry data exchange, where different representations use the same fundamental concepts; the most popular being B-Rep and CSG [Shah et al. 88], different feature representation schemes use different concepts to represent features corresponding to the application and domain. Therefore, feature data transfer between applications not only involves transfer of instance data but also transformation of feature concepts. This paper presents N-Rep, an application independent declarative language, for feature definition that includes topology, topological relationships, geometry, geometric relationships, parameters and parametric relationships. N-Rep has been designed to serve three roles, viz., (a) to generate feature recognition algorithms for recognizing features from geometry, (b) to generate feature producing procedures to be used in design by feature approaches, and (c) to serve as a neutral feature data exchange medium between representations.


Author(s):  
Dhaval Lokagariwar ◽  
Bernhard Bettig

Commercial feature-based design systems are based on describing the design model in some form of sequential representation of primitive shapes and operations called features. In these systems, the overall design process, the behavior of building blocks and the characteristics of the final model, are governed by the construction sequence. These systems do not check for the conformity of the final shape with the actual design intent of features, and allow their design and engineering intent to be altered during the design process. The research work presented here describes a new design methodology and feature representation for facilitating a design environment that is independent of any construction order or constraint-based dependencies and provides a mechanism for maintaining design and engineering intent of the design features. The methodology works by dynamically evaluating the features using a planning algorithm such that the validity of each feature is maintained. These are intended to serve as a generic template that can be used to design and develop specific design features and CAD software systems.


Author(s):  
Jing Tao ◽  
Suiran Yu

LCA predicts the life cycle impacts of product solutions and can help determine what solution is better for the environment. However, LCA is very data dependent and requires in-depth knowledge to explicit relate environmental impacts of product to its design attributes. Current LCA methods are generally still not adapted to designers, who often lack the expertise and time to make LCA efficiently useful to their daily work. This study aims to develop a LCA module integrated with CAD system for machined products. The module employs a feature-based approach for identify, extract and convert life cycle related data in existing product models for LCA modeling and analysis. A coding system for machining feature representation and a rule-based reasoning package to generate manufacturing plans based on feature codes are developed to enable convenient eco-assessment along with CAD modeling of machined products. A step shaft LCA case study is presented to demonstrate the proposed approach.


Author(s):  
A. Kasthuri ◽  
A. Suruliandi ◽  
S. P. Raja

Face annotation, a modern research topic in the area of image processing, has useful real-life applications. It is a really difficult task to annotate the correct names of people to the corresponding faces because of the variations in facial appearance. Hence, there still is a need for a robust feature to improve the performance of the face annotation process. In this work, a novel approach called the Deep Gabor-Oriented Local Order Features (DGOLOF) for feature representation has been proposed, which extracts deep texture features from face images. Seven recently proposed face annotation methods are considered to evaluate the proposed deep texture feature under uncontrolled situations like occlusion, expression changes, illumination and pose variations. Experimental results on the LFW, IMFDB, Yahoo and PubFig databases show that the proposed deep texture feature provides efficient results with the Name Semantic Network (NSN)-based face annotation. Moreover, it is observed that the proposed deep texture feature improves the performance of face annotation, regardless of all the challenges involved.


Author(s):  
P. H. Gu ◽  
H. A. ElMaraghy ◽  
L. Hamid

Abstract This paper presents the development of a new high-level design language called Feature based Design Description Language — FDDL. The traditional and computer-aided design and manufacturing procedures were analyzed and the important gaps between CAD and CAM have been identified. These include the lack of uniform representation of parts and products, and lack of effective links between CAD and CAM. The FDDL is proposed and designed in association with a feature representation scheme as a means of integrating design and manufacturing tasks planning. Its syntax, semantics and vocabulary have been defined taking into consideration ease of use, compatibility with engineering terminology and ease of computer implementation. The FDDL system consists of a number of lexical analyzers, a parser and three code generators. Once the products or parts modeled using FDDL or the feature based modeler are processed by the FDDL system, syntax error free input files are created for use by manufacturing task planning systems. The FDDL has been applied to a feature based cellular manufacturing planning system, an expert automated CMM inspection task planner, and a mechanical assembly sequence planner.


2012 ◽  
Vol 532-533 ◽  
pp. 1631-1635
Author(s):  
Shan Shan Li ◽  
Ying Hai Zhao ◽  
Jiang An Wang

Shape context is not rotation invariant as a local visual feature. To solve this problem, 2-D and 1-D Fourier Transformation has been performed on the feature. Based on the property of Fourier Transformation, a fast and efficient method is presented in the cost matrix computation of these improved shape context feature. The analysis shows the time complexity is much lower and the experiments show effective and efficiency of this new algorithm.


2014 ◽  
Vol 657 ◽  
pp. 765-769
Author(s):  
Michał Majzner ◽  
Andrzej Baier

The article presents a reflection on the definition of the feature, which enabled the development of feature-based method for modeling of composite structural components. The need for defining feature is a direct result of the ambiguity of statements or narrow definitions and their applications. So far are well developed feature, which are used in process design (CAD) - geometric feature, design feature and in the process of manufacturing (CAM) - Technology feature, and also focused on functionality (CAE - motion simulation) functional feature. The feature representation of a fully functioning feature-based system that does the aggregation of information about the structure of a construction object made from layered composites.. This approach is based on a single, independent feature representation that can be used for design, finite element analysis, technology process planning. The paper describes the main approach to the engineering analysis with the use of FEM and a convenient method of simplifying the geometry of the model and the composition of the composite. Also discussed are possible extensions to features to enhance the finite element meshing process.


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