Interacting Automultiscopic 3D With Haptic Paint Brush in Immersive Room

Son, Hyungki; Shin, Seunghyup; Choi, Seung-Ho; Kim, Sang-Youn; Kim, Jin Ryong

doi:10.1109/access.2018.2883821

Cited by 5 publications

(2 citation statements)

References 17 publications

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“…We are interested in how touch can affect the multimodal experience of art and how it can enhance the immersive experience of the viewers in a virtual environment. Some solutions already suggested haptic exploration using bodysuits (Giordano et al, 2015), haptic brushes (Son et al, 2018b), textured reliefs (Reichinger et al, 2011), exoskeletons (Frisoli et al, 2005), force feedback (Dima et al, 2014), surface haptics (Ziat et al, 2021), vibrotactile (Marquardt et al, 2009), thermal (Hribar and Pawluk, 2011), or mid-air haptics (Vi et al, 2017) to interact with an art installation on a screen, in a virtual reality setting, or enhanced tactile walls in museums. In these types of exhibitions and systems where touch is at the center of the artistic piece or movement, the interaction is highly encouraged.…”

Section: Haptics In Visual Artmentioning

confidence: 99%

Walking on paintings: Assessment of passive haptic feedback to enhance the immersive experience

Ziat

Jhunjhunwala²,

Clepper³

et al. 2022

Front. Virtual Real.

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Virtual reality has been used in recent years for artistic expression and as a tool to engage visitors by creating immersive experiences. Most of these immersive installations incorporate visuals and sounds to enhance the user’s interaction with the artistic pieces. Very few, however, involve physical or haptic interaction. This paper investigates virtual walking on paintings using passive haptics. More specifically we combined vibrations and ultrasound technology on the feet using four different configurations to evaluate users’ immersion while they are virtually walking on paintings that transform into 3D landscapes. Results show that participants with higher immersive tendencies experienced the virtual walking by reporting illusory movement of their body regardless the haptic configuration used.

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Section: Haptics In Visual Artmentioning

confidence: 99%

Walking on paintings: Assessment of passive haptic feedback to enhance the immersive experience

Ziat

Jhunjhunwala²,

Clepper³

et al. 2022

Front. Virtual Real.

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“…Reconstructing the 3D object shapes from a set of 2D images has become a valuable approach to enhance the tasks in computer vision, such as virtual reality [1], object recognition [2], biometrics [3], human-computer interaction [4], [5], etc. Non-Rigid Structure from Motion (NRSfM) provides a useful approach to simultaneously estimate the 3D time-varying deformed object and the relative camera motion from the corresponding 2D observation points in a sequence of images.…”

Section: Introductionmentioning

confidence: 99%

An Accelerated Procrustean Markov Process Model With Coherent Constraint for Non-Rigid Structure From Motion

et al. 2019

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Non-Rigid Structure from Motion (NRSfM) is the task of reconstructing the 3D point set of a non-rigid object from an ensemble of images with 2D correspondences, which has been a long-lasting challenging research topic. Compared to the state-of-the-art methods for NRSfM, the Procrustean Markov Process (PMP) model has obtained a relatively good performance. However, the estimation error and the convergence time of the PMP model will increase simultaneously when noise is present. To address this problem, in this paper, a coherent constraint is constructed to suppress the noise in the initialization step of the PMP algorithm. Moreover, an Accelerated Expectation Maximization (AEM) algorithm is devised to optimize the PMP estimation model. Experimental results on several widely used sequences demonstrate that our proposed algorithm achieves state-of-the-art performance, as well as its effectiveness and feasibility.INDEX TERMS Non-rigid structure from motion, accelerated expectation maximization algorithm, coherent constraint.

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Impact of Immersive Virtual Reality Content Using 360-Degree Videos in Undergraduate Education

Kim

2022

IEEE Trans. Learning Technol.

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Interacting Automultiscopic 3D With Haptic Paint Brush in Immersive Room

Cited by 5 publications

References 17 publications

Walking on paintings: Assessment of passive haptic feedback to enhance the immersive experience

Walking on paintings: Assessment of passive haptic feedback to enhance the immersive experience

An Accelerated Procrustean Markov Process Model With Coherent Constraint for Non-Rigid Structure From Motion

Impact of Immersive Virtual Reality Content Using 360-Degree Videos in Undergraduate Education

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