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DAGM
2006
Springer
13 years 8 months ago
Robust Variational Segmentation of 3D Objects from Multiple Views
We propose a probabilistic formulation of 3D segmentation given a series of images from calibrated cameras. Instead of segmenting each image separately in order to build a 3D surfa...
Kalin Kolev, Thomas Brox, Daniel Cremers
ECCV
2008
Springer
14 years 6 months ago
Robust 3D Pose Estimation and Efficient 2D Region-Based Segmentation from a 3D Shape Prior
In this work, we present an approach to jointly segment a rigid object in a 2D image and estimate its 3D pose, using the knowledge of a 3D model. We naturally couple the two proces...
Samuel Dambreville, Romeil Sandhu, Anthony J. Yezz...
CVPR
2006
IEEE
13 years 10 months ago
3D Reconstruction of Background and Objects Moving on Ground Plane Viewed from a Moving Camera
We present a novel method to obtain a 3D Euclidean reconstruction of both the background and moving objects in a video sequence. We assume that, multiple objects are moving rigidl...
Chang Yuan, Gérard G. Medioni
IVC
2010
289views more  IVC 2010»
13 years 3 months ago
Automatic 3D object segmentation in multiple views using volumetric graph-cuts
We propose an algorithm for automatically obtaining a segmentation of a rigid object in a sequence of images that are calibrated for camera pose and intrinsic parameters. Until re...
Neill D. F. Campbell, George Vogiatzis, Carlos Her...
IJCV
2000
180views more  IJCV 2000»
13 years 4 months ago
Probabilistic Models of Appearance for 3-D Object Recognition
We describe how to model the appearance of a 3-D object using multiple views, learn such a model from training images, and use the model for object recognition. The model uses pro...
Arthur R. Pope, David G. Lowe