EFFICIENT SPARSE VOXEL OCTREES PDF

Abstract Figure 1: Sibenik cathedral ray-traced using voxels. Voxel data was created with high-resolution surface displacement, and ambient occlusion was calculated as a pre-process step. All geometry and shading data is stored on a per-voxel basis, i. The resolution is approximately 5mm throughout the entire building, including outer walls that are not visible from the inside. The total size of the data in GPU memory is 2.

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It utilizes the massively parallel computing power available in GPUs to implement real-time ray tracing of voxel data represented using a compact octree data structure. Quadro FX is recommended. Instructions 1. Install Visual Studio Run octree. The first run will execute a number of initialization tasks, including compilation of 24 variants of the CUDA code.

If you get an error during the initialization, the most probable explanation is that the initialization is unable to launch nvcc. Run "octree --help" to see a list of command-line options. Optional: If you are running on Windows Vista or 7, the next step may exceed the default GPU driver recovery timeout of 2 seconds. To avoid difficulties, you should increase the timeout to at least 10 seconds.

Optional: The package contains a pre-built octree for the default scene with a relatively low resolution. As high-resolution octrees consume a considerable amount of disk space, they must be built separately. The process takes quite long to complete, so you may want to let it run overnight. The necessary mesh files are distributed in a separate package. Optional: Build the application yourself. Debug build is very slow, especially when constructing octrees.

Building octrees The application supports two ways of building octrees: - Online build: Increase resolution progressively while viewing the result. Online build works as follows: - Run the application in interactive mode. To finish the build and save the result, click "Save octree It does, however, utilize multiple CPU cores by creating a number of threads that operate on different parts of the octree in parallel.

While increasing performance, this also increases the memory footprint considerably. It may sometimes be necessary to limit the number of threads through the "--max-threads" command-line option in order to avoid running out of memory. The command-line includes a number of useful tools to operate on octree files: - Inspect: Print detailed statistics about the contents of an octree file.

Version history Version 1. Version 1. This is because CUDA 3. With CUDA 3. To find out how much memory you are getting, look for the following line in the output: "MemoryManager: Allocated XXX megabytes.

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Vermutlich basierend auf "efficient-sparse-voxel-octrees"

It utilizes the massively parallel computing power available in GPUs to implement real-time ray tracing of voxel data represented using a compact octree data structure. Quadro FX is recommended. Instructions 1. Install Visual Studio Run octree. The first run will execute a number of initialization tasks, including compilation of 24 variants of the CUDA code. If you get an error during the initialization, the most probable explanation is that the initialization is unable to launch nvcc.

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Every node in the octree can exist as a vector3, where the x,y,z component represents the center point of the node. The w component can be used as a flags field. The w-flags field can denote which octant child nodes follow the current node. This would require 8 bits of the value.

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