Three-dimensional reconstruction using silhouette images from random angles
نویسندگان
چکیده
منابع مشابه
Three-Dimensional Reconstruction of Fire from Images
Three-Dimensional Reconstruction of Fire from Images Samuel William Hasinoff Master of Science Graduate Department of Computer Science University of Toronto 2002 Interesting visual simulations have been proposed for physical phenomena such as fire and smoke, but scant attention has been paid to reconstructing models of these phenomena from multiple images of real scenes. Here we study the probl...
متن کاملThree-dimensional Scene Reconstruction from Images
Modeling of three-dimensional (3D) objects from image sequences is a challenging problem and has been a research topic for many years. Important theoretical and algorithmic results were achieved that allow to extract even complex 3D models of scenes from sequences of images. One recent effort has been to reduce the amount of calibration and to avoid restrictions on the camera motion. In this co...
متن کاملThree-dimensional buildings reconstruction from IKONOS stereo images
High resolution IKONOS stereo imagery provides an important data source for threedimensional scene extraction. In urban areas, it has been long a challenge topic to automatically extract urban objects from images due to the high object density and scene complexity. In this paper, we propose a new method for automatic 3d building reconstruction from IKONOS stereo images. Our approach is based on...
متن کاملReconstruction of Three Dimensional Models from Real Images
An image based model reconstruction system is described. Real images of a rigid object acquired under a simple but controlled environment are used to recover the three dimensional geometry and the surface appearance. Based on a multi-image calibration method, an algorithm to extract the rotation axis of a turn-table has been developed. Furthermore, this can be extended to estimate robustly the ...
متن کاملThree-dimensional Block World Reconstruction from Monocular Images by Use of an Object-based Markov Random Field Model
The present report describes a novel method of reconstructing three-dimensional (3-D) scenes that include block-like objects observed in monocular images. The objects are represented by 3-D rigid models with geometrical parameters. The fidelity of these object models to the images and the consistency of relations between the object models are formulated using the Markov Random Field (MRF) model...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of the Visualization Society of Japan
سال: 2004
ISSN: 1884-037X,0916-4731
DOI: 10.3154/jvs.24.supplement2_73