Dual Camera Magic Lens for Handheld AR Sketching

Pucihar, Klen Čopič; Grubert, Jens; Kljun, Matjaž

doi:10.1007/978-3-319-22723-8_53

Cited by 3 publications

(6 citation statements)

References 8 publications

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“…This is also supported by the fact that none of participants found it difficult to look through the phone while virtually tracing, even though the task completion time took more than 10 minutes on average. These finding are also in line with our previous study [4].…”

Section: How Effective Are Phones In Supporting User Sketching Througsupporting

confidence: 94%

“…Hence, building a ML system where these limitations are not present is bound to signifi-cantly improve ML performance. This is in line with our previous study where such a system (dual-camera magic lens) was built and revealed it has potential to be both faster and lead to a higher perceived satisfaction compared to SP and ML [4].…”

Section: Magic Lens Vs Static Peepholesupporting

confidence: 91%

“…Our two recent studies looked into virtual tracing. The first one is a preliminary study presenting and comparing a dual-camera magic lens with ML and SP interface with 6 participants [4]. The results show that virtual tracing with dual-camera magic lens is feasible, has higher perceived satisfaction score and is faster when compared to ML and SP.…”

Section: Related Workmentioning

confidence: 99%

“…(a) QUIS scores[1][2][3][4][5][6][7][8][9]; (b) Ranking results for preference (smaller is better); (c) Average task time completion in minutes; (d) Ranking results for drawing quality (smaller is better).…”

mentioning

confidence: 99%

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Using a Mobile Phone as a 2D Virtual Tracing Tool: Static Peephole vs. Magic Lens

Pucihar

Kljun

Coulton

2016

IFIP Advances in Information and Communication Technology

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Traditional sketching aids rely on the physical production of templates or stencils which is particularly problematic in the case of larger formats. One possible solution is 2D virtual tracing using a virtual template to create a physical sketch. This paper evaluates a mobile phone as a 2D virtual tracing tool by comparing three tracing methods: (i) a traditional tracing method with a printed template, (ii) a virtual tracing method Static Peephole (SP) in which the virtual template is manually adjusted to a physical contour by drag and pinch gestures, and (iii) a virtual tracing method augmented reality Magic Lens (ML) in which template is projected on the physical object such as paper hence navigation is possible through physical movement of the mobile device. The results show that it is possible to use mobile phones for virtual tracing, however, ML only achieved comparable performance to SP mode and traditional methods continued to be quicker and preferred by users.

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Section: How Effective Are Phones In Supporting User Sketching Througsupporting

confidence: 94%

Section: Magic Lens Vs Static Peepholesupporting

confidence: 91%

Section: Related Workmentioning

confidence: 99%

mentioning

confidence: 99%

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Using a Mobile Phone as a 2D Virtual Tracing Tool: Static Peephole vs. Magic Lens

Pucihar

Kljun

Coulton

2016

IFIP Advances in Information and Communication Technology

Self Cite

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show abstract

“…The study also indicated that UPR outperformed DPR in terms of accuracy, task completion time, subjective workload and preference. They later extended their investigations to specifically study the use of surrounding visual context in a map navigation task [7] and to sketching applications [18]. Pucihar et al also proposed a specific variation of UPR, called contact-view, which allows pseudo transparent rendering of documents when a smartphone lies directly on the document [17,16], achieving similar effects compared to proprietary solutions using transparent displays [12,13].…”

Section: Related Workmentioning

confidence: 99%

Adaptive user perspective rendering for Handheld Augmented Reality

Mohr

Tatzgern

Grubert

et al. 2017

2017 IEEE Symposium on 3D User Interfaces (3DUI)

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Handheld Augmented Reality commonly implements some variant of magic lens rendering, which turns only a fraction of the users real environment into AR while the rest of the environment remains unaffected. Since handheld AR devices are commonly equipped with video see-through capabilities, AR magic lens applications often suffer from spatial distortions, because the AR environment is presented from the perspective of the camera of the mobile device. Recent approaches counteract this distortion based on estimations of the users head position, rendering the scene from the user's perspective. To this end, approaches usually apply face-tracking algorithms on the front camera of the mobile device. However, this demands high computational resources and therefore commonly affects the performance of the application beyond the already high computational load of AR applications. In this paper, we present a method to reduce the computational demands for user perspective rendering by applying lightweight optical flow tracking and an estimation of the users motion before head tracking is started. We demonstrate the suitability of our approach for computationally limited mobile devices and we compare it to device perspective rendering, to head tracked user perspective rendering, as well as to fixed point of view user perspective rendering.

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Visual Cue Based Corrective Feedback for Motor Skill Training in Mixed Reality: A Survey

Diller

Scheuermann²,

Wiebel

2024

IEEE Trans. Visual. Comput. Graphics

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When learning a motor skill it is helpful to get corrective feedback from an instructor. This will support the learner to execute the movement correctly. With modern technology, it is possible to provide this feedback via mixed reality. In most cases, this involves visual cues to help the user understand the corrective feedback. We analyzed recent research approaches utilizing visual cues for feedback in mixed reality. The scope of this paper is visual feedback for motor skill learning, which involves physical therapy, exercise, rehabilitation etc. While some of the surveyed literature discusses therapeutic effects of the training, this paper focuses on visualization techniques. We categorized the literature from a visualization standpoint, including visual cues, technology and characteristics of the feedback. This provided insights into how visual feedback in mixed reality is applied in the literature and how different aspects of the feedback are related. The insights obtained can help to better adjust future feedback systems to the target group and their needs. This paper also provides a deeper understanding of the characteristics of the visual cues in general and promotes future, more detailed research on this topic.

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Dual Camera Magic Lens for Handheld AR Sketching

Cited by 3 publications

References 8 publications

Using a Mobile Phone as a 2D Virtual Tracing Tool: Static Peephole vs. Magic Lens

Using a Mobile Phone as a 2D Virtual Tracing Tool: Static Peephole vs. Magic Lens

Adaptive user perspective rendering for Handheld Augmented Reality

Visual Cue Based Corrective Feedback for Motor Skill Training in Mixed Reality: A Survey

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