Adaptive Space Carving with Texture Mapping

Yang, Yoo-Kil; Lee, Jung; Kim, Soo-Kyun; Kim, Chang-Hun

doi:10.1007/11424857_121

Cited by 14 publications

(5 citation statements)

References 5 publications

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“…This step adds redundant computation and storage overhead. Adaptive approaches such as octrees reduce memory consumption by only representing the subset of relevant volume, but they still explicitly represent volume, an approach that rapidly fills memory [3,30].…”

Section: Voxel Carvingmentioning

confidence: 99%

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Watertight Planar Surface Meshing of Indoor Point-Clouds with Voxel Carving

Turner

Zakhor

2013

2013 International Conference on 3D Vision

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Abstract3D modeling of building architecture from point-cloud scans is a rapidly advancing field. These models are used in augmented reality, navigation, and energy simulation applications. State-of-the-art scanning produces accurate pointclouds of building interiors containing hundreds of millions of points. Current surface reconstruction techniques either do not preserve sharp features common in a man-made structures, do not guarantee watertightness, or are not constructed in a scalable manner. This paper presents an approach that generates watertight triangulated surfaces from input point-clouds, preserving the sharp features common in buildings. The input point-cloud is converted into a voxelized representation, utilizing a memory-efficient data structure. The triangulation is produced by analyzing planar regions within the model. These regions are represented with an efficient number of elements, while still preserving triangle quality. This approach can be applied to data of arbitrary size to result in detailed models. We apply this technique to several data sets of building interiors and analyze the accuracy of the resulting surfaces with respect to the input point-clouds.

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Section: Voxel Carvingmentioning

confidence: 99%

“…This prior knowledge supports the use of primitives that have these same aspects. Examples include voxel and octree structures, which are used in many carving techniques [3,10,25,28,30]. The advantage to such approaches is that they are robust to noise and registration errors in the input point-cloud.…”

Section: Introductionmentioning

confidence: 99%

Watertight Planar Surface Meshing of Indoor Point-Clouds with Voxel Carving

Turner

Zakhor

2013

2013 International Conference on 3D Vision

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“…After the player silhouettes are constructed, the space carving technique, which follows from the technique of Yang at el [9], is performed. To reduce the strain on available computer memory that traditional voxel carving techniques can have, an initial carving is carried out at a low voxel spatial resolution.…”

Section: Voxel Carving Approachmentioning

confidence: 99%

Quantifying human reconstruction accuracy for voxelcarving in a sporting environment

Monaghan

Kelly

O’Connor

2011

Proceedings of the 19th ACM International Conference on Multimedia

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Whilst voxel carving approaches exist that allow non-invasive 3D human reconstruction, their performance is heavily dependent on the number of cameras used and the placement of these cameras around the subject. We present a technique to quantify the fall-off in accuracy of spatially carved volumetric representations of humans based on real world constraints. We describe an example of such a quantitative evaluation using a synthetic dataset of typical sports motion in a tennis court scenario, created using computer graphics techniques and motion capture data. Experiments are performed using a baseline voxel carving technique that includes player tracking, background subtraction and player voxel carving. This type of quantitative evaluation could be used by amateur sporting clubs without a sophisticated capture infrastructure to understand how best to instrument a camera network in order to obtain a good trade-off between reconstruction accuracy and installation cost.

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“…[12] can be performed. However, the amount of computer memory utilised in traditional space carving techniques can be both computationally and memory intensive.…”

Section: Approachmentioning

confidence: 99%

“…[12] to cope with the difficulties in object segmentation in relatively unconstrained real world environments. In addition, we detail a technique for providing a good choice for the 3D initial volume to be used for carving.…”

Section: Approachmentioning

confidence: 99%

Dynamic voxel carving in tennis based on player localisation using a low cost camera network

Monaghan

Kelly

O’Connor

2011

2011 18th IEEE International Conference on Image Processing

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In this paper, we address the problem of reconstructing 3D volumetric models, illustrating human sporting performance for use in coaching scenarios. We advocate the use of low cost camera networks for acquiring such data, allowing the approach to be feasibly adopted by both amateur and elite level sports athletes. A dynamic voxel carving approach is described, coupled with over-head player tracking and autonomous background subtraction, to automatically produce a 3D reconstruction technique that intelligently uses memory resources. We demonstrate the efficacy of our approach in the context of tennis as a challenging application scenario.

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Adaptive Space Carving with Texture Mapping

Cited by 14 publications

References 5 publications

Watertight Planar Surface Meshing of Indoor Point-Clouds with Voxel Carving

Watertight Planar Surface Meshing of Indoor Point-Clouds with Voxel Carving

Quantifying human reconstruction accuracy for voxelcarving in a sporting environment

Dynamic voxel carving in tennis based on player localisation using a low cost camera network

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