3DPVT
2006
IEEE
14 years 2 months ago
2006
IEEE
This paper introduces a feature based method for the fast generation of sparse 3D point clouds from multiple images with known pose. We extract sub-pixel edge elements (2D positio...
3DPVT
2006
IEEE
14 years 2 months ago
2006
IEEE
3D scanning techniques based on structured light usually achieve robustness against outliers by performing multiple projections to simplify correspondence. However, for cases such...
3DPVT
2006
IEEE
14 years 4 months ago
2006
IEEE
We address multiple-view reconstruction under an optimization approach based on belief propagation. A novel formulation of belief propagation that operates in 3-D is proposed to f...
3DPVT
2006
IEEE
14 years 4 months ago
2006
IEEE
We present an alternate approach to the problem of structure from motion (SfM) with noisy point measurements. With no information available about the joint density of three-dimens...
3DPVT
2006
IEEE
14 years 4 months ago
2006
IEEE
Object modeling under consideration of geometric constraints is an important task. In this paper we describe a novel approach to achieving this goal. It has the nice property that...
3DPVT
2006
IEEE
14 years 4 months ago
2006
IEEE
3DPVT
2006
IEEE
14 years 4 months ago
2006
IEEE
We present a novel method for recovering the 3D-line structure of a scene from multiple widely separated views. Traditional optimization-based approaches to line-based structure f...
3DPVT
2006
IEEE
14 years 4 months ago
2006
IEEE
We propose artificial potential fields as a support theory for a feature linking algorithm. This algorithm operates on 3D triangle meshes derived from multiple range scans of an o...
3DPVT
2006
IEEE
14 years 4 months ago
2006
IEEE
Detection and analysis of ocean surface phenomena have so far relied on manual analysis of long sequences of satellite images or images produced from the mathematical models. In t...
3DPVT
2006
IEEE
14 years 4 months ago
2006
IEEE
We present a novel method for detecting and quantifying 3D structure in stacks of microscopic images captured at incremental focal lengths. We express the image data as stochastic...