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A user’s physical and virtual environments are becoming increasingly interwoven. Mobile and embedded devices have become more the rule than the exception: many present-day users are inexperienced when it comes to traditional computers, but are in daily contact with computerized systems. The increasing diversity of all kinds of devices, together with the(More)
Both ray tracing and point-based representations provide means to efficiently display very complex 3D models. Computational efficiency has been the main focus of previous work on ray tracing point-sampled surfaces. For very complex models efficient storage in the form of compression becomes necessary in order to avoid costly disk access. However, as ray(More)
Many real-world, scanned surfaces contain repetitive structures, like bumps, ridges, creases, and so on. We present a compression technique that exploits self-similarity within a point-sampled surface. Our method replaces similar surface patches with an instance of a representative patch. We use a concise shape descriptor to identify and cluster similar(More)
Figure 1: (a)(b)(c):results for the David 1mm scan consisting of 30M points. (a) X-axis: bits per coordinate component, Y-axis: PSNR, Peak Signal to Noise Ratio, in dB. (b) X-axis: bits per coordinate component, Y-axis: Compression Ratio. (c)(upper) Histogram of the RMSE, Real Mean Square Error, for 2 bits per coordinate component.(c)(lower) Histogram of(More)
With the increasing capabilities of 3D data scanning devices, point set surfaces are becoming increasingly popular. Even though using points sets already lessens storage requirements (connectivity information is not stored), the ever increasing amount of acquired geometric information gives rise to an equally growing demand for data that needs a compact(More)
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