Signal Processing Commons^™

Assessment Of The Impact Of Clothing And Environmental Conditions On Visible Light 3d Scanning, Pann Ajjimaporn, Jeremy Straub, Scott Kerlin

Jeremy Straub

The quality of models produced by visible light 3D scanners is influenced by multiple factors. To max-imize model accuracy and detail levels, the correct combination of lighting texture, subject posture and software usage must be selected. The work described herein has been performed to measure the effect of different lighting and envi-ronmental conditions on human 3D scanning results.

A Web-Based Job Management System For Three-Dimensional Printing And Scanning At The University Of North Dakota, Dalyn Limesand, Stephanie Hollman, Jeremy Straub, Scott Kerlin

Jeremy Straub

Three-dimensional (3D) printers have gained popularity for use for many different projects. The work presented herein aims to make this process simpler. This paper discusses a system that will allow individuals from across campus to submit object files for printing by a 3D printer, without having to schedule appointment and manually operate it.

Logistical requirements dictate some level of human involvement, despite a goal of creating a fully automated system. Involvement areas include converting /preparing submitted files, sending the job to the printer, print tray preparation, and completed object removal. From a user’s perspective, however a seamless experience is anticipated. …

Using A Constellation Of Cubesats For In-Space Optical 3d Scanning, Jeremy Straub

Jeremy Straub

The assessment of in-space objects is an area of ongoing research. Characterization of resident space objects (RSOs) can be useful for assessing the operating status of operator-affiliated or non-affiliated space assets, identifying unknown objects or gathering additional details for known objects. Under the proposed approach, a ring-like constellation of CubeSats passes around the target (at a distance) collecting imagery. This imagery is then utilized to create a 3D model of the target. This paper considers several key elements of a constellation to perform this type of imaging, including the constellation design and imaging capabilities required and the astrodynamics relevant to …

Selective Recursive Kernel Learning For Online Identification Of Nonlinear Systems With Narx Form, Yi Liu, Haiqing Wang, Jiang Yu, Ping Li

Dr. Yi Liu

Online identification of nonlinear systems is still an important while difficult task in practice. A general and simple online identification method, namely Selective Recursive Kernel Learning (SRKL), is proposed for multi-input–multi-output (MIMO) systems with the nonlinear autoregressive with exogenous input form. A two-stage RKL online identification framework is first formulated, where the information contained by a sample (i.e., the new arriving or old useless one) can be introduced into and/or deleted from the model, recursively. Then, a sparsification strategy to restrict the model complexity is developed to guarantee all the output channels of the MIMO model accurate simultaneously. Specially, a …