منابع مشابه
3D Object Recognition Using Invariance
The systems and concepts described in this paper document the evolution of the geometric invariance approach to object recognition over the last ve years. Invariance overcomes one of the fundamental di culties in recognising objects from images: that the appearance of an object depends on viewpoint. This problem is entirely avoided if the geometric description is una ected by the imaging transf...
متن کاملA novel Local feature descriptor using the Mercator projection for 3D object recognition
Point cloud processing is a rapidly growing research area of computer vision. Introducing of cheap range sensors has made a great interest in the point cloud processing and 3D object recognition. 3D object recognition methods can be divided into two categories: global and local feature-based methods. Global features describe the entire model shape whereas local features encode the neighborhood ...
متن کاملBONSAI: 3D object recognition using constrained search
Computer vision systems that identify and localize instances of predefined 3-D models in images offer many potential benefits to industrial and other environments. In many of these areas, solid models of the parts to be recognized already exist, and redesign of the part geometry for vision tasks should be avoided. This paper describes BONSAI, which is a model-based 3-D object recognition system...
متن کاملUsing Genetic Algorithms for 3D Object Recognition
We investigate the application of genetic algorithms for recognizing 3D objects from two-dimensional intensity images, assuming orthographic projection. The recognition strategy is based on the recently proposed theory of algebraic functions of views. According to this theory, the variety of 2D views depicting a 3D object under the case of orthographic projection can be expressed as a linear co...
متن کامل3D Object Recognition Using Unsupervised Feature Extraction
Intrator (1990) proposed a feature extraction method that is related to recent statistical theory (Huber, 1985; Friedman, 1987), and is based on a biologically motivated model of neuronal plasticity (Bienenstock et al., 1982). This method has been recently applied to feature extraction in the context of recognizing 3D objects from single 2D views (Intrator and Gold, 1991). Here we describe expe...
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)00023-2