Feature Preserving Non-Rigid Iterative Weighted Closest Point and Semi-Curvature Registration

Volume 2: 42nd Computers and Information in Engineering Conference (CIE)

Kwa

Christiaan³

et al. 2022

Fitting apparel and apparel in performing different activities is essential for the functional yet comfortable experience of the user. 4D scans, i.e. 3D scans in continuous timestamps, of the body (part) in performing those activities are the basis for the design of garments/apparel in 4D. In this paper, we proposed a semi-automatic workflow for constructing 4D scans of the body parts with the emphasis on registering noisy scans at a given timestamp. Continuous 3D scans regarding the moving body parts are captured first from different depth cameras from different view angles. In a given timestamp, the collected 3D scans are roughly aligned to a template using the rigid Iterative Closest Points (ICP) algorithm. Then these scans are further registered using a newly proposed non-rigid Iterative Closest-Farthest Points (ICFP) algorithm, in which correspondences between the source and the target are established by either closest or farthest points based on the newly defined logical distance concept and the probability theory. Experimental results indicated that the ICFP method is robust against noise and the scanning accuracy can be as high as 3.4 %. It also reveals that, for the human foot, the differences of ball width and ball angles between the loaded and the unloaded situation can be as large as 8 mm and 2 degrees, respectively. This highlights the importance of using 4D scan in designing garments and apparel.

Section: Rigid Registrationmentioning

confidence: 99%

Dynamic 3D Mesh Reconstruction Based on Nonrigid Iterative Closest-Farthest Points Registration

Volume 2: 42nd Computers and Information in Engineering Conference (CIE)

Kwa

Christiaan³

et al. 2022

“…The optimal control problem addresses ( 14), ( 11) can be solved by a LQR, that gives a stabilizing feedback gain assuming that the original system is at least stable and noticeable [14], [19], [20], that can be assessed employing, e.g, the Hautus-test [21]. Also, the stability of the system is comprehensively studied in [14].…”

Section: Integrated Ramp-metering and Lateral Flow Controllermentioning

confidence: 99%

Flow metering and lane-changing optimal control with ramp-metering saturation

2022 CPSSI 4th International Symposium on Real-Time and Embedded Systems and Technologies (RTEST)

Ramezanian

Paydarfar

et al. 2022

Self Cite

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

“…Many algorithms were developed for this purpose, for instance, the non-rigid iterative closest points methods (non-rigid ICP, e.g. [17]). -Modelling: In this step, all meshes are aligned together (brought together as close as possible).…”

Section: Digital Human Modelmentioning

confidence: 99%

Personalized Product Design Through Digital Fabrication

Minnoye

Volume 2: 42nd Computers and Information in Engineering Conference (CIE)

Doubrovski

et al. 2022

Personalized designs bring added value to the products and the users. Meanwhile, they also pose challenges to the product design process as each product differs. In this paper, with the focus on personalized fit, we present an overview as well as details of the personalized design process based on design practice. The general workflow of personalized product design is introduced first. Then different steps in the workflow such as human data/parameters acquisition, computational design, design for digital fabrication, and product evaluation are presented. Tools and methods that are often used in different steps in the process are also outlined where in human data acquisition, 3D scanning, and digital human models are addressed. For computational design, the use of computational thinking tools such as abstraction, decomposition, pattern recognition and algorithms are discussed. In design for digital fabrication, additive manufacturing methods (e.g. FDM), and their requirements on the design are highlighted. For product evaluation, both functional evaluation and usability evaluation are considered and the evaluation results can be the starting point of the next design iteration. Finally, several case studies are presented for a better understanding of the workflow, the importance of different steps in the workflow and the deviations in the approach regarding different contexts. In conclusion, we intend to provide designers a holistic view of the design process in designing personalized products as well as help practitioners trigger innovations regarding each step of the process.