Three-dimensional Block World Reconstruction from Monocular Images by Use of an Object-based Markov Random Field Model
نویسندگان
چکیده
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 that consists of the object models. The optimal configuration of this objectbased MRF model is obtained by the primal-dual interior point method. The recognition schemes are applied to actual scenes.
منابع مشابه
مدلسازی تاثیرات پسروی دریاچه ارومیه بر روستاهای ساحل شرقی دریاچه ارومیه با پردازش شیءگرای تصاویر ماهوارهای
Urmia Lake is one of the largest hyper saline lakes in the world and largest inland lake in Iran which located in the north west of Iran, between the provinces of East Azerbaijan and West Azerbaijan. The lake basin is one of the most influential and valuable aquatic ecosystems in the country and registered as UNESCO Biosphere Reserve. In addition, it is very important in terms of water resource...
متن کاملDetection and prediction of land use/ land cover changes using Markov chain model and Cellular Automata (CA-Markov), (Case study: Darab plain)
unprincipled changes in land use are major challenges for many countries and different regions of the world, which in turn have devastating effects on natural resources, Therefore, the study of land-use changes has a fundamental and important role for environmental studies. The purpose of this study is to detect and predicting of land use/ land cover (LULC) changes in Darab plain through the Ma...
متن کاملTarget detection The Simulation Analysis of the Effect of Imaging Sidelap/Overlap on the Quality of 3D Reconstruction in UAV Photogrammetry and Determination of their Optimal Values
The selection of effective and optimal sidelap/overlap of images according to the quality, speed, cost and purpose of each UAV photogrammetric project is considered as an important parameter. Since two decades ago, several researches have been carried out based on a trial and error strategy for this purpose, in which different drones and cameras have been utilized for imaging with different sid...
متن کاملAutomated Tumor Segmentation Based on Hidden Markov Classifier using Singular Value Decomposition Feature Extraction in Brain MR images
ntroduction: Diagnosing brain tumor is not always easy for doctors, and existence of an assistant that facilitates the interpretation process is an asset in the clinic. Computer vision techniques are devised to aid the clinic in detecting tumors based on a database of tumor c...
متن کاملStress Analysis of the Human Ligamentous Lumber Spine-From Computer-Assisted Tomography to Finite Element Analysis
Detailed investigation on biomechanics of a complex structure such as the human lumbar spine requires the use of advanced computer-based technique for both the geometrical reconstruction and the stress analysis. In the present study, the computer-assisted tomography (CAT) and finite element method (FEM) are merged to perform detailed three dimensional nonlinear analysis of the human ligamentous...
متن کامل