๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Occluded objects recognition using multiscale features and hopfield neural network

โœ Scribed by Jiann-Shu Lee; Chin-Hsing Chen; Yung-Nien Sun; Guan-Shu Tseng


Book ID
108363665
Publisher
Elsevier Science
Year
1997
Tongue
English
Weight
854 KB
Volume
30
Category
Article
ISSN
0031-3203

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Recognition of partially occluded object
โœ Navin Rajpal; Santanu Chaudhury; Subhashis Banerjee ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 638 KB

In this paper, a new neural network based indexing scheme has been proposed for recognition of planar shapes. Local contour segment-based-invariants have been used for indexing. Object contours have been obtained using a new algorithm which combines advantages of region growing and edge detection. N

Object recognition using a neural networ
โœ Lee Jiann-Der ๐Ÿ“‚ Article ๐Ÿ“… 1997 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 997 KB

In this paper, a neural network using an optimal linear feature extraction scheme is proposed to recognize two-dimensional objects in an industrial environment. This approach consists of two stages. First, the procedures of determining the coefficients of normalized rapid descrip tor (NBD) of unkno