Volumetric descriptions from a single intensity image
作者:Mourad Zerroug, Ramakant Nevatia
摘要
Since the early days of computer vision research, shape from contour has been one of the most challenging problems. Many researchers in the field have attempted to understand this problem and proposed different approaches to solve it. Shape from contour still remains one of the hardest problems in the field. The problem has two major difficulties. First, 2D properties of contours of viewed objects are generally not sufficient by themselves to uniquely determine 3D shape, as one dimension is lost in the projection. Second, real images produce imperfect contours that make their interpretation particularly difficult. The first problem has received some attention in the research community but in the context of perfect contours. The second one, however, has received very little.
论文关键词:Computer Vision, Vision Research, Global Feature, Invariant Property, Real Image
论文评审过程:
论文官网地址:https://doi.org/10.1007/BF00144115