We propose a fast method for computing distance transforms and skeletons of 3D objects using programmable Graphics Processing Units (GPUs). We use an efficient method, called distance splatting, to compute the distance transform, a one-point feature transform, and 3D skeletons. We efficiently implement 3D splatting on GPUs using 2D textures and a hierarchical bi-level acceleration scheme. We show how to choose near-optimal parameter values to achieve high performance. We show 3D skeletonization and object reconstruction examples and compare our performance with similar state-of-the-art methods
A skeleton building algorithm in case of lack of memory is presented. Built skeleton is topologicall...
A skeleton provides a synthetic and thin representation of three dimensional objects, and is useful ...
We present novel parallel algorithms for collision detection and separation distance computation for...
We propose a fast method for computing distance transforms and skeletons of 3D objects using program...
We propose a fast method for computing distance transforms and skeletons of 3D objects using program...
We present a framework for computing generalized distance transforms and skeletons of two-dimensiona...
We present a GPU-based framework for extracting surface and curve skeletons of 3D shapes represented...
This paper describes a fast approximate approach for the GPU-based computation of 3D Euclidean dista...
Abstract—We present a GPU-based framework for extracting surface and curve skeletons of 3D shapes re...
Thinning operations and distance transforms have long been used in extracting skeleton information o...
This paper proposes a novel method for visualizing the thickness and clearance of 3D objects in a po...
AbstractThis paper proposes a novel method for visualizing the thickness and clearance of 3D objects...
A skeleton building algorithm in case of lack of memory is presented. Built skeleton is topologicall...
A skeleton provides a synthetic and thin representation of three dimensional objects, and is useful ...
We present novel parallel algorithms for collision detection and separation distance computation for...
We propose a fast method for computing distance transforms and skeletons of 3D objects using program...
We propose a fast method for computing distance transforms and skeletons of 3D objects using program...
We present a framework for computing generalized distance transforms and skeletons of two-dimensiona...
We present a GPU-based framework for extracting surface and curve skeletons of 3D shapes represented...
This paper describes a fast approximate approach for the GPU-based computation of 3D Euclidean dista...
Abstract—We present a GPU-based framework for extracting surface and curve skeletons of 3D shapes re...
Thinning operations and distance transforms have long been used in extracting skeleton information o...
This paper proposes a novel method for visualizing the thickness and clearance of 3D objects in a po...
AbstractThis paper proposes a novel method for visualizing the thickness and clearance of 3D objects...
A skeleton building algorithm in case of lack of memory is presented. Built skeleton is topologicall...
A skeleton provides a synthetic and thin representation of three dimensional objects, and is useful ...
We present novel parallel algorithms for collision detection and separation distance computation for...