Calculating geometric properties of three-dimensional objects from the spherical harmonic representation
نویسندگان
چکیده
The volume, location of the centroid, and second order moments of a threedimensional star-shaped object are determined in terms of the spherical harmonic coefficients of its boundary function. Bounds on the surface area of the object are derived in terms of the spherical harmonic coefficients as well. Sufficient conditions under which the moments and area computed from the truncated spherical harmonic series converge to the actual moments and area are established. The proposed method is verified using a scanned head model and by recent measurements of the 433 Eros asteroid. An extension to non-star-shaped objects of genus 0 is provided. The computational complexity of our method is shown to be equal to that of the discrete spherical harmonic transform, which is O(N2 logN), where N is the maximum order of coefficients retained in the expansion.
منابع مشابه
Comparing Features of Three - Dimensional Object Models Using Registration Based On
COMPARING FEATURES OF THREE-DIMENSIONAL OBJECT MODELS USING REGISTRATION BASED ON SURFACE CURVATURE SIGNATURES by Timothy David Gatzke ADVISOR: Professor Cindy M. Grimm December 2006 Saint Louis, Missouri This dissertation presents a technique for comparing local shape properties for similar three-dimensional objects represented by meshes. We develop a shape representation that is sensitive to ...
متن کاملRepresentation and Recognition of Free-Form Surfaces
We introduce a new surface representation for recognizing curved objects. Our approach begins by representing an object by a discrete mesh of points built from range data or from a geometric model of the object The mesh is computed from the data by deforming a standard shaped mesh, for example, an ellipsoid, until it fits the surface of the object. We define local regularity constraints that th...
متن کاملPose detection of 3-D objects using S2-correlated images and discrete spherical harmonic transforms
The pose detection of three-dimensional (3-D) objects from two-dimensional (2-D) images is an important issue in computer vision and robotics applications. Specific examples include automated assembly, automated part inspection, robotic welding, and human robot interaction, as well as a host of others. Eigendecomposition is a common technique for dealing with this issue and has been applied to ...
متن کاملRepresenting and Comparing Molecules using Spherical Harmonic Expansions
Performing quantitative structure-activity relationship (QSAR) studies is often a vital early step in the drug development process. If detailed experimental data for the molecules under study is not available, their structure and chemical properties can often be calculated satisfactorily using fast semi-empirical quantum mechanical techniques [1]. Currently, corporate and public databases now c...
متن کاملAccuracy of Spherical Harmonic Approximations for Images of Lambertian Objects under Far and Near Lighting
Various problems in Computer Vision become difficult due to a strong influence of lighting on the images of an object. Recent work showed analytically that the set of all images of a convex, Lambertian object can be accurately approximated by the low-dimensional linear subspace constructed using spherical harmonic functions. In this paper we present two major contributions: first, we extend pre...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Pattern Recognition
دوره 40 شماره
صفحات -
تاریخ انتشار 2007