We present an approach for recovering a global surface model of an object from the deformation of the occluding contour using an active (i.e., mobile) observer able to control its motion. In particular, we consider two problems: (1) How can the observer's viewpoint be controlled in order to generate a dense sequence of images that allows incremental reconstruction of an unknown surface? And (2) how can we construct a global surface model from the generated image sequence? We achieve the first goal by purposefully and qualitatively controlling the observer's instantaneous direction of motion in order to control the motion of the visible rim over the surface. We achieve the second goal by using a stationary calibrated trinocular camera rig and a mechanism for controlling the relative position and orientation of the viewed surface with respect to the trinocular rig. Unlike previous shape-from-motion approaches which derive quantitative shape information from an arbitrarily generated sequence of images, we develop a collection of simple and efficient viewing strategies that allow the observer to achieve the global reconstruction goal by maintaining specific geometric relationships with the viewed surface. These relationships depend only on tangent computations on the occluding contour. To demonstrate the feasibility and effectiveness of our approach we apply the developed algorithms to synthetic and real scenes.
This paper introduces a novel, viewer-centered approach to modeling the geometry of the visible occluding contour of solid 3D shape. A description of the change in appearance of the rim and occluding contour as a function of viewpoint allows the organization of features of the occluding contour for indexing and matching. This organization makes the features of the occluding contour explicit for matching in a dynamic context where image features are changing over time, and in a static context where matching methods must iteratively refine an estimation of viewpoint. The rim appearance representation models the exact appearance of the occluding contour formed by the edges of a polyhedron that is assumed to be an approximation of a smooth shape. An algorithm is presented for constructing the rim appearance representation. Bounds on space and time are given, and implementation results show that the rim appearance representation is significantly smaller than the aspect graph and the aspect representation.
Abstract. The study of the aspect graph of a three-dimensional object has recently become an active area of research in computer vision. The aspect graph provides a complete enumeration of all the possible distinct views of an object, under a particular model for the viewpoint space and a particular definition for "distinct." This paper gives a tutorial introduction to the aspect graph, surveys the current state of the art in algorithms for automati- cally constructing the aspect graph, and describes some possible applications of aspect graphs in computer vision and computer graphics.
Conference Committee Involvement (3)
Computer Vision and Image Analysis of Art II
26 January 2011 | San Francisco Airport, California, United States
Computer Vision and Image Analysis of Art
18 January 2010 | San Jose, California, United States
Computer Image Analysis in the Study of Art
28 January 2008 | San Jose, California, United States