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» Deriving Intrinsic Images from Image Sequences
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ISBI
2007
IEEE
14 years 2 months ago
Feature Curve-Guided Volume Reconstruction from 2d Images
In this paper, we propose a new paradigm to reconstruct 3D volume from histology slices guided by NURBS spline-based feature curves. Histology slices are first scanned into compu...
Yunhao Tan, Jing Hua, Ming Dong
CVPR
2003
IEEE
14 years 9 months ago
Learning epipolar geometry from image sequences
We wish to determine the epipolar geometry of a stereo camera pair from image measurements alone. This paper describes a solution to this problem which does not require a parametr...
Yonatan Wexler, Andrew W. Fitzgibbon, Andrew Zisse...
CVPR
2006
IEEE
14 years 1 months ago
Estimating Intrinsic Component Images using Non-Linear Regression
Images can be represented as the composition of multiple intrinsic component images, such as shading, albedo, and noise images. In this paper, we present a method for estimating i...
Marshall F. Tappen, Edward H. Adelson, William T. ...
ISBI
2008
IEEE
14 years 8 months ago
Sift-based sequence registration and flow-based cortical vessel segmentation applied to high resolution optical imaging data
Several functional and biomedical imaging techniques rely on determining hemodynamic variables and their changes in large vascular networks. To do so at micro-vascular resolution ...
Ivo Vanzetta, Mickaël Péchaud, Renaud ...
ICIP
2003
IEEE
14 years 9 months ago
Precise real-time outlier removal from motion vector fields for 3D reconstruction
Finding the correct correspondences in an image sequence is a significant task for deriving 3D structure from motion. Most research has concentrated on extracting and matching sal...
Andreas Dante, Mike Brookes