[出版社版]We propose robust three-dimensional object recognition method using complex amplitude information obtained by the Fourier transform profilometry. Object recognition is based on the effective three-dimensional correlation using complex amplitude information. A reference data in correlation operation is produced by spatial shift multiplexing of a large number of complex amplitude information derived from rotated objects. The proposed method has tolerance to object rotation in addition to translation. Experimental results of object recognition are presented
The implementation of an efficient scheme for translation, rotation and scale invariant optical char...
This thesis presents two methods that can be used in recognizing 3-D objects from 2-D views. Those a...
This thesis presents two methods that can be used in recognizing 3-D objects from 2-D views. Those a...
This paper presents a novel method for detection and orientation evaluation for three-dimensional (3...
We describe a number of new optoelectronic approaches to three-dimensional (3D) image recognition. I...
The design of a general purpose artificial vision system capable of recognizing arbitrarily complex ...
This paper describes an object recognition system for use in complex imagery that can perform recog...
Object recognition is a complex problem in computer vision. In most recognition systems, features ar...
This paper describes an object recognition system for use in complex imagery that can perform recogn...
Object recognition is a complex problem in computer vision. In most recognition systems, features ar...
Machine recognition of rigid objects is studied, based on fitting a synthesis result (rendering func...
Introduction Several different methods of extending twodimensional #2-D# optical pattern recogniti...
The paper presents methods of automatic target recognition from images with complex internal structu...
We present an approach to recognition of complex objects in cluttered 3-D scenes that does not requi...
The paper presents methods of automatic target recognition from images with complex internal structu...
The implementation of an efficient scheme for translation, rotation and scale invariant optical char...
This thesis presents two methods that can be used in recognizing 3-D objects from 2-D views. Those a...
This thesis presents two methods that can be used in recognizing 3-D objects from 2-D views. Those a...
This paper presents a novel method for detection and orientation evaluation for three-dimensional (3...
We describe a number of new optoelectronic approaches to three-dimensional (3D) image recognition. I...
The design of a general purpose artificial vision system capable of recognizing arbitrarily complex ...
This paper describes an object recognition system for use in complex imagery that can perform recog...
Object recognition is a complex problem in computer vision. In most recognition systems, features ar...
This paper describes an object recognition system for use in complex imagery that can perform recogn...
Object recognition is a complex problem in computer vision. In most recognition systems, features ar...
Machine recognition of rigid objects is studied, based on fitting a synthesis result (rendering func...
Introduction Several different methods of extending twodimensional #2-D# optical pattern recogniti...
The paper presents methods of automatic target recognition from images with complex internal structu...
We present an approach to recognition of complex objects in cluttered 3-D scenes that does not requi...
The paper presents methods of automatic target recognition from images with complex internal structu...
The implementation of an efficient scheme for translation, rotation and scale invariant optical char...
This thesis presents two methods that can be used in recognizing 3-D objects from 2-D views. Those a...
This thesis presents two methods that can be used in recognizing 3-D objects from 2-D views. Those a...