ABSTRACT
Abstract ................................................................................................. 264 11.1 Introduction .............................................................................. 264 11.2 Classification of 3D Vision ...................................................... 267 11.3 Vanishing Points and Lines ...................................................... 276 11.4 Image Features ......................................................................... 277 11.5 Feature Detection ..................................................................... 279 11.6 Feature Matching ..................................................................... 280 11.7 Image Matching ....................................................................... 293 11.8 Reconstruction from Two Calibrated Views ............................ 284 11.9 Robust Estimation .................................................................... 296 11.10 Bundle Adjustment ................................................................... 300 11.11 Visualization ............................................................................. 301 11.12 Epipolar Rectification .............................................................. 302
11.13 Dense Matching ....................................................................... 303 11.14 Triangulation ............................................................................ 304 11.15 Texture Mapping ...................................................................... 305 11.16 Applications of 3D Reconstruction in Pore
Structure Characterization ........................................................ 306 11.17 Conclusions ...............................................................................311 Nomenclature ........................................................................................ 312 Keywords .............................................................................................. 313 References ............................................................................................. 313
ABSTRACT
This chapter provides a detailed review on relevant approach of 3D reconstruction from two views of single 2D image and it potential applications in pore analysis of electrospun nanofibrous membrane. The review has concisely demonstrated that 3D reconstruction consists of three steps which is equivalent to the estimation of a specific geometry group. These steps include: estimation of the epipolar geometry existing between the stereo image pair, estimation of the affine geometry, and also camera calibration. The advantage of this system is that the 2D images do not need to be calibrated in order to obtain a reconstruction. Results for both the camera calibration and reconstruction are presented to verify that it is possible to obtain a 3D model directly from features in the images. Finally, the applications of 3D reconstruction in pore structure characterization of electrospun nanofibrous membrane are discussed.
