Improving bi-manual 3D input in CAD modelling by part rotation optimisation

Fiorentino, Michele; Uva, Antonio E.; Fabiano, Marcello; Monno, Giuseppe

doi:10.1016/j.cad.2008.12.002

Cited by 12 publications

(10 citation statements)

References 7 publications

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“…They have also been used for 3D object manipulation and interaction in virtual environments (Balakrishnan and Kurtenbach, 1999;Bowman and Hodges, 1997;Poupyrev and Ichikawa, 1999). Fiorentino et al (2010) found that the incorporation of bimanual haptics aided CAD designers in model creation. Talvas et al (2013) describe a wide range of bimanual haptic interaction techniques Bimanual virtual assembly has been found to outperform unimanual virtual assembly in a variety of situations, including perception of weight (Giachritsis et al, 2009;Owen et al, 2005), virtual navigation for the visually impaired (Crossan and Brewster, 2006), and cooperative tasks (Gunn, 2006;Hinckley et al, 1997).…”

Section: Introductionmentioning

confidence: 99%

An evaluation of asymmetric interfaces for bimanual virtual assembly with haptics

2016

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Immersive computing technology provides a human-computer interface to support natural human interaction with digital data and models. One application for this technology is product assembly methods planning and validation. This paper presents the results of a user study which explores the effectiveness of various bimanual interaction device configurations for virtual assembly tasks. Participants completed two assembly tasks with two device configurations in five randomized bimanual treatment conditions (within-subjects). A Phantom Omni R with and without haptics enabled and a 5DT Data Glove were used. Participant performance, as measured by time to assemble, was the evaluation metric. The results revealed that there was no significant difference in performance between the five treatment conditions. However, half of the participants chose the 5DT Data Glove and the haptic-enabled Phantom Omni R as their preferred device configuration. In addition, qualitative comments support both the preference of haptics during the assembly process as well as comments confirming Guiard's kinematic chain model.

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Section: Introductionmentioning

confidence: 99%

An evaluation of asymmetric interfaces for bimanual virtual assembly with haptics

2016

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“…[Oh et al, 2006] presented the Direct Modelling approach, which allows the user to intuitively select geometric entities in real time regardless of the modifications made. This was initially developed for conceptual design and architectural planning [Fiorentino, 2010]. [Fiorentino, 2002] showed the advantages derived from using a semi-immersive environment, combining stereoscopic vision with 3D inputs, addressed to conceptual and aesthetic design.…”

Section: Virtual and Augmented Reality In Designing And Manufacturingmentioning

confidence: 99%

Augmented and Virtual Reality techniques for footwear

Jimeno-Morenilla¹,

Sánchez-Romero²,

Salas-Pérez³

2013

Computers in Industry

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The use of 3D imaging techniques has been early adopted in the footwear industry. In particular, 3D imaging could be used to aid commerce and improve the quality and sales of shoes. Footwear customization is an added value aimed not only to improve product quality, but also consumer comfort. Moreover, customisation implies a new business model that avoids the competition of mass production. However, footwear customisation implies a significant effort at different levels. In this paper, new advances in 3D techniques are successfully applied to footwear. Firstly, the characteristics of a stereoscopic vision system for footwear are presented. Secondly, a system for the interaction with virtual footwear models based on 3D gloves is detailed. Finally, an augmented reality system is presented that allow a hypothetical customer to check in real time the goodness of a given virtual footwear model from an aesthetical point of view.

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“…[10] presented the Direct Modelling approach, which allows the user to intuitively select geometric entities in real time regardless of the modifications made. This was initially developed for conceptual design and architectural planning [11]. [12] showed the advantages derived from using a semi-immersive environment, combining stereoscopic vision with 3D inputs, addressed to conceptual and aesthetic design.…”

Section: Introductionmentioning

confidence: 99%

3D model reconstruction using neural gas accelerated on GPU

Orts-Escolano

García-Rodríguez

Serra-Pérez

et al. 2015

Applied Soft Computing

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In this work, we propose the use of the Neural Gas (NG), a neural network that uses an unsupervised competitive hebbian learning (CHL), to develop a reverse engineering process. This is a simple and accurate method to reconstruct objects from the point cloud obtained from overlapped multiple views using low cost sensors. In contrast to other methods that may need several stages that include downsampling, noise filtering and many other tasks, the NG automatically obtains the 3D model of the scanned objects.To demonstrate the validity of our proposal we tested our method with several models and performed a study of the neural network parameterization calculating the quality of representation and also comparing results with other neural methods like Growing Neural Gas and Kohonen maps or clasical Email addresses: sorts@dtic.ua.es (Sergio Orts-Escolano), jgarcia@dtic.ua.es (Jose Garcia-Rodriguez), jimeno@dtic.ua.es (Antonio Jimeno-Morenilla), jserra@dtic.ua.es (Jose Antonio Serra-Perez), agg180@alu.ua.es (Alberto Garcia), vmorell@dccia.ua.es (Vicente Morell), miguel@dccia.ua.es (Miguel Cazorla) Preprint submitted to Applied Soft Computing January 7, 2015 methods like Voxel Grid. We also reconstructed models acquired by low cost sensors that can be included in virtual and augmented reality environments to redesign or manipulation purpose. Since the NG algorithm has a strong computational cost we propose its acceleration. We have redesigned and implemented the NG learning algorithm to fit it onto a Graphic Processor Unit using CUDA. A speed-up of 180x faster is obtained compared to the sequential CPU version.

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Improving bi-manual 3D input in CAD modelling by part rotation optimisation

Cited by 12 publications

References 7 publications

An evaluation of asymmetric interfaces for bimanual virtual assembly with haptics

An evaluation of asymmetric interfaces for bimanual virtual assembly with haptics

Augmented and Virtual Reality techniques for footwear

3D model reconstruction using neural gas accelerated on GPU

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