An efficient set estimator in high dimensions: consistency and applications to fast data visualization

Chaudhuri, A. Ray; Basu, Ayanendranath; Tan, Kar-Han; Bhandari, Subir Kumar; Chaudhuri, B. B.

doi:10.1016/j.cviu.2003.10.002

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Interactive Quality Feedback1

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2012

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Cited by 2 publications

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“…The second capture was able to recover the finer-scale features. For visualizing the 3D points, we use a voxel representation [12]. Each voxel is colored according to the maximum uncertainty of 3D points the voxel contains.…”

Section: Interactive Quality Feedbackmentioning

confidence: 99%

Cloud-based depth sensing quality feedback for interactive 3D reconstruction

Tan¹,

Apostolopoulos²

2012

2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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In this paper we propose a cloud-based approach to improve the 3D reconstruction capability of handheld devices with real-time depth sensors. We attempt to characterize the quality of 3D information captured by real time depth sensing devices, and in particular examine how sensors from Prime Sense and Canesta measure distances, and derive simple analytical models on performance limitations for each. We also study the factors that affect depth sensing quality when these devices are used to incrementally build larger or denser 3D models. Empirical experiments confirm our analysis. Our findings allow us to design a quality metric which can interactively inform users to guide them on how to optimize the quality of their captured 3D content.

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Section: Interactive Quality Feedbackmentioning

confidence: 99%