scholarly journals V4PCS: Volumetric 4PCS Algorithm for Global Registration

Author(s):  
Jida Huang ◽  
Tsz-Ho Kwok ◽  
Chi Zhou

With the advances in hardware and process development, additive manufacturing is realizing a new paradigm: mass customization. There are massive human-related data in mass customization, but there are also many similarities in mass-customized products. Therefore, reusing information can facilitate mass customization and create unprecedented opportunities in advancing the theory, method, and practice of design for mass-customized products. To enable information reuse, different models have to be aligned so that their similarity can be identified. This alignment is commonly known as the global registration that finds an optimal rigid transformation to align two three-dimensional shapes (scene and model) without any assumptions on their initial positions. The Super 4-Points Congruent Sets (S4PCS) is a popular algorithm used for this shape registration. While S4PCS performs the registration using a set of 4 coplanar points, we find that incorporating the volumetric information of the models can improve the robustness and the efficiency of the algorithm, which are particularly important for mass customization. In this paper, we propose a novel algorithm, Volumetric 4PCS (V4PCS), to extend the 4 coplanar points to non-coplanar ones for global registration, and theoretically demonstrate the computational complexity is significantly reduced. Several typical human-centered applications such as tooth aligner and hearing aid are investigated and compared with S4PCS. The experimental results show that the proposed V4PCS can achieve a maximum of 20 times speedup and can successfully compute the valid transformation with very limited number of sample points.

2017 ◽  
Vol 139 (11) ◽  
Author(s):  
Jida Huang ◽  
Tsz-Ho Kwok ◽  
Chi Zhou

With the advances in three-dimensional (3D) scanning and sensing technologies, massive human-related data are now available and create many applications in data-driven design. Similarity identification is one of the basic problems in data-driven design and can facilitate many engineering applications and product paradigm such as quality control and mass customization. Therefore, reusing information can create unprecedented opportunities in advancing the theory, method, and practice of product design. To enable information reuse, different models must be aligned so that their similarity can be identified. This alignment is commonly known as the global registration that finds an optimal rigid transformation to align two 3D shapes (scene and model) without any assumptions on their initial positions. The Super 4-Points Congruent Sets (S4PCS) is a popular algorithm used for this shape registration. While S4PCS performs the registration using a set of four coplanar points, we find that incorporating the volumetric information of the models can improve the robustness and the efficiency of the algorithm, which are particularly important for mass customization. In this paper, we propose a novel algorithm, Volumetric 4PCS (V4PCS), to extend the four coplanar points to noncoplanar ones for global registration, and theoretically demonstrate the computational complexity is significantly reduced. Experimental tests are conducted on several models such as tooth aligner and hearing aid to compare with S4PCS. The experimental results show that the proposed V4PCS can achieve a maximum of 20 times speedup and can successfully compute the valid transformation with very limited number of sample points. An application of the proposed method in mass customization is also investigated.


Author(s):  
Sebastian Brand ◽  
Michael Kögel ◽  
Frank Altmann ◽  
Ingrid DeWolf ◽  
Ahmad Khaled ◽  
...  

Abstract Through Silicon Via (TSV) is the most promising technology for vertical interconnection in novel three-dimensional chip architectures. Reliability and quality assessment necessary for process development and manufacturing require appropriate non-destructive testing techniques to detect cracks and delamination defects with sufficient penetration and imaging capabilities. The current paper presents the application of two acoustically based methods operating in the GHz-frequency band for the assessment of the integrity of TSV structures.


Cells ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 1872
Author(s):  
Shaowei Guo ◽  
Idan Redenski ◽  
Shulamit Levenberg

Spinal cord injury (SCI) is a debilitating condition, often leading to severe motor, sensory, or autonomic nervous dysfunction. As the holy grail of regenerative medicine, promoting spinal cord tissue regeneration and functional recovery are the fundamental goals. Yet, effective regeneration of injured spinal cord tissues and promotion of functional recovery remain unmet clinical challenges, largely due to the complex pathophysiology of the condition. The transplantation of various cells, either alone or in combination with three-dimensional matrices, has been intensively investigated in preclinical SCI models and clinical trials, holding translational promise. More recently, a new paradigm shift has emerged from cell therapy towards extracellular vesicles as an exciting “cell-free” therapeutic modality. The current review recapitulates recent advances, challenges, and future perspectives of cell-based spinal cord tissue engineering and regeneration strategies.


Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3949 ◽  
Author(s):  
Wei Li ◽  
Mingli Dong ◽  
Naiguang Lu ◽  
Xiaoping Lou ◽  
Peng Sun

An extended robot–world and hand–eye calibration method is proposed in this paper to evaluate the transformation relationship between the camera and robot device. This approach could be performed for mobile or medical robotics applications, where precise, expensive, or unsterile calibration objects, or enough movement space, cannot be made available at the work site. Firstly, a mathematical model is established to formulate the robot-gripper-to-camera rigid transformation and robot-base-to-world rigid transformation using the Kronecker product. Subsequently, a sparse bundle adjustment is introduced for the optimization of robot–world and hand–eye calibration, as well as reconstruction results. Finally, a validation experiment including two kinds of real data sets is designed to demonstrate the effectiveness and accuracy of the proposed approach. The translation relative error of rigid transformation is less than 8/10,000 by a Denso robot in a movement range of 1.3 m × 1.3 m × 1.2 m. The distance measurement mean error after three-dimensional reconstruction is 0.13 mm.


2012 ◽  
Vol 10 (1) ◽  
Author(s):  
Oksana Loginova

Abstract The existing theoretical literature on mass customization maintains that customization reduces product differentiation and intensifies price competition. In contrast, operations management studies argue that customization serves primarily to differentiate a company from its competitors. Interactive involvement of the customer in product design creates an affective relationship with the firm, relaxing price competition. This paper provides a model that incorporates consumer involvement to explain the phenomena described in the operations management literature.Two firms on the Hotelling line compete for a continuum of consumers with heterogeneous brand preferences. An exogenously given fraction of consumers is potentially interested in customization. Consumer benefits from customization are the rewards from a special shopping experience and the value of product customization (a better fitting product); these benefits are higher for consumers located closer to the customizing brand. When a consumer purchases a customized product, he/she incurs waiting costs. Each firm simultaneously decides whether to offer standard products, customized products, or both, and then engage in price competition. I show that customization increases product differentiation, leading to less intense price competition. Depending on the parameter values, in equilibrium either both firms offer customized products, one firm offers customized products and the other standard and customized products, or one firm offers customized products and the other standard products. I perform comparative statics analysis with respect to the fraction of consumers interested in customization, the waiting costs, and the fixed cost of customization.


2016 ◽  
Vol 4 (1) ◽  
pp. 40
Author(s):  
Miriam Aparicio

This article introduces a new systemic theory called “The Three Dimensional Spiral of Sense”, applied to Identity and Professionalization. The epistemological mainstays of the theory are stressed here, a theory supported by more than 30 years of empirical research at CONICET (National Council of Scientific Research, Argentina), with individuals belonging to different populations, some of them covering periods of over 20 years (intra-generational studies), and others covering three generations in-line (inter-generational studies). This article presents the most specific theoretical frameworks, and it formulates the six disciplinary areas in which the new analysis of the social data was carried out: Education, Health, Science, Media, International Relations and Interculturality. The first area – Education – is dealt with through different levels (secondary level, tertiary level, University and PhD training. Here, we only make reference to the studies carried out, returning to some epistemological issues in this theory. The methodology used was quantitative (statistical analysis, a semi-structured survey) but mainly qualitative (hierarchical evocations, interviews). The approach was macro-micro-meso-macro, micro, not quite common yet. It consists of a kind of sui generis systemism which recovers relationships (links, back and forth) between individuals and contexts, without overlooking neither the former nor the latter, thus, avoiding any type of reductionism. Individuals, organizations and frameworks interplay and feedback themselves. The results, particularly the qualitative ones, show the rich interactions underlying the continuance or innovation processes, which favor or hinder the individuals’ development and identity in times of abrupt change; at the same time, these results reveal the need for Professionalization in emerging countries.


Author(s):  
Fabrizio Banfi ◽  
Daniela Oreni

The latest developments in the field of generative modeling and building information modeling for heritage building (HBIM) have allowed the authors to increase the level of transmissibility of information through the most modern techniques of virtual and augmented reality (VR-AR). This chapter summarises the last years of applied research in the field of three-dimensional modeling oriented to digitise and correctly represent the built heritage thanks to the integration of the most modern three-dimensional survey techniques with a scan-to-BIM process based on new grades of generation (GOG) and accuracy (GOA). The new paradigm of the complexity of the built heritage, its tangible and intangible values, have been shared through new immersive ways able to increase the information contents and the knowledge accumulated in the last years of one of the most representative and unique buildings of the Lombard architecture: the Cà Granda in Milan.


Fractals ◽  
1995 ◽  
Vol 03 (03) ◽  
pp. 617-625 ◽  
Author(s):  
RHONDA ROLAND SHEARER

Abbott’s 19th century book, Flatland, continues to be popularly interpreted as both a social commentary and a way of visualizing the 4th-dimension by analogy. I attempt here to integrate these two seemingly disparate readings. Flatland is better interpreted as a story with a central theme that social, perceptual, and conceptual innovations are linked to changes in geometry. In such cases as the shift from the two-dimensional world of Flatland to a three-dimensional Spaceland, the taxonomic restructuring of human importance from Linnaeaus to Darwin, or the part/whole proportional shift from Ptolemy’s earth as the center of the universe to Copernicus’s sun, new geometries have changed our thinking, seeing, and social values, and lie at the heart of innovations in both art and science. For example, the two greatest innovations in art — the Renaissance with geometric perspective, and the birth of modern art at the beginning of this century with n-dimensional and non-Euclidean geometries — were developed by artists who were thinking within new geometries. When we view the history of scientific revolutions as new geometries, rather than only as new ideas, we gain direct access to potential manipulations of the structures of human innovation itself. I will discuss the seven historical markers of scientific revolutions (suggested by Kuhn, Cohen, and Popper), and how these seven traits correlate and can now be seen within the new paradigm of fractals and nonlinear sciences.


Sign in / Sign up

Export Citation Format

Share Document