title: Three-dimensional image mosaicking using multiple projection planes for 3-D visualization of roadside standing buildings.
abstract: A novel image-mosaicking technique suitable for 3-D visualization of roadside buildings on websites or mobile systems is proposed. Our method was tested on a roadside building scene taken using a side-looking video camera employing a continuous set of vertical-textured planar faces. A vertical plane approximation of the scene geometry for each frame was calculated using sparsely distributed feature points that were assigned 3-D data through bundle adjustments. These vertical planes were concatenated to create an approximate model on which the images could be backprojected as textures and blended together. Additionally, our proposed method includes an expanded crossed-slits projection around far-range areas to reduce the "ghost effect," a phenomenon in which a particular object appears repeatedly in a created image mosaic. The final step was to produce seamless image mosaics using Dijkstra's algorithm to find the optimum seam line to blend overlapping images. We used our algorithm to create efficient image mosaics in 3-D space from a sequence of real images.
authors: Electrical Engineering and Computer Sciences Department, University of California, Berkeley, CA 94720-1770, USA. jcchon@eecs.berkeley.edu
authors: Jaechoon
authors: J
authors: Chon
authors: Takashi
authors: T
authors: Fuse
authors: Eihan
authors: E
authors: Shimizu
authors: Ryosuke
authors: R
authors: Shibasaki
mesh_terms: D000465:Algorithms; D001108:Architecture / Q000379:methods*; D001185:Artificial Intelligence; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D010781:Photography / Q000379:methods*