In this paper, we present a new framework for analyzing and segmenting point-sampled 3D objects. Our method first computes for each surface point the ...

In this paper, we present a new framework for analyzing and segmenting point-sampled 3D objects. Our method first computes for each surface point the ...

In this paper, we present a novel framework for analyzing and segmenting point-sampled 3D objects. Our algorithm computes a decomposition of a given point ...

In this paper, we present a new framework for analyzing and segmenting point-sampled 3D objects. Our method first computes for each surface point the ...

In this paper, we present a new framework for analyzing and segmenting point-sampled 3D objects. Our method first computes for each surface point the surface ...

Scale-Space Processing of Point-Sampled Geometry for Efficient 3D Object Segmentation. Authors. Hamid LAGA; Hiroki TAKAHASHI; Masayuki NAKAJIMA. Downloads.

We present a new technique for extracting line-type features on point-sampled geometry. Given an unstructured point cloud as input, our method first applies ...

SUMMARY. In this paper, we present a novel framework for analyz- ing and segmenting point-sampled 3D objects. Our algorithm computes a.

Hamid Laga, Hiroki Takahashi, Masayuki Nakajima: Scale-Space Processing of Point-Sampled Geometry for Efficient 3D Object Segmentation. CW 2004: 377-383.

Scale-Space Processing of Point-Sampled Geometry for Efficient 3D Object Segmentation. H. Laga, H. Takahashi, and M. Nakajima. CW, page 377-383.