Recognition of object classes from range data
نویسندگان
چکیده
منابع مشابه
3-D Object Recognition using MEGI Model from Range Data
Description and recognition of objects is the central considerations of research on computer vision. The key issue is how to represent 3-D objects on a machine for recognizing them. Researchers of computer vision commonly employ the EGI model, but it is not able to express concave objects. In this paper, the MEGI model and coe cient of extended spherical correlation have been proposed. The MEGI...
متن کاملObject recognition from range data prior to segmentation
We propose an unconventional approach to range image understanding. It is unconven-tional in the sense that object matching and recognition is performed before the image is segmented. The motivation for this is our own perception of problems, which we will analyze in the paper, arising from the conventional paradigm of recognition after segmentation. The proposal consists of two levels: the rep...
متن کاملUnsupervised discovery of object classes from range data using latent Dirichlet allocation
Truly versatile robots operating in the real world have to be able to learn about objects and their properties autonomously, that is, without being provided with carefully engineered training data. This paper presents an approach that allows a robot to discover object classes in three-dimensional range data in an unsupervised fashion and without a-priori knowledge about the observed objects. Ou...
متن کاملEigenshapes for 3D Object Recognition in Range Data
Much of the recent research in object recognition has adopted an appearance-based scheme, wherein objects to be recognized are represented as a collection of prototypes in a multidimensional space spanned by a number of characteristic vectors (eigen-images) obtained from training views. In this paper, we extend the appearance-based recognition scheme to handle range (shape) data. The result of ...
متن کامل3d Face Recognition from Range Data
3D facial data has a great potential in overcoming the problems of illumination and pose variation in face recognition. In this paper, we investigate face recognition from range data by facial profiles and surface. An efficient symmetry plane detection method for facial range data is presented to help extract facial profile. A global profile matching method is then exploited to align and compar...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Artificial Intelligence
سال: 1995
ISSN: 0004-3702
DOI: 10.1016/0004-3702(95)00062-3