Three-dimensional object recognition using an unsupervised BCM network: The usefulness of distinguishing features
N Intrator, JI Gold - Neural Computation, 1993 - direct.mit.edu
We propose an object recognition scheme based on a method for feature extraction from
gray level images that corresponds to recent statistical theory, called projection pursuit, and …
gray level images that corresponds to recent statistical theory, called projection pursuit, and …
[PDF][PDF] Three-dimensional object recognition using an unsupervised neural network: understanding the distinguishing features
N Intrator, JI Gold, HH Bülthoff… - 8th Israeli Conference on …, 1991 - pure.mpg.de
Three-Dimensional Object Recognition Using an Unsupervised Neural Network: Understanding
the Distinguishing Features Page 1 Three-Dimensional Object Recognition Using an …
the Distinguishing Features Page 1 Three-Dimensional Object Recognition Using an …
A self-organizing multiple-view representation of 3D objects
D Weinshall, S Edelman… - Advances in neural …, 1989 - proceedings.neurips.cc
We demonstrate the ability of a two-layer network of thresholded summation units to support
representation of 3D objects in which several distinct 2D views are stored for ea. ch object …
representation of 3D objects in which several distinct 2D views are stored for ea. ch object …
[PDF][PDF] Unrestricted recognition of 3-D objects using multi-level triplet invariants
GH Granlund, A Moe - Proceedings of the Cognitive Vision Workshop, 2002 - Citeseer
A method for unrestricted recognition of 3-D objects has been developed. By unrestricted,
we imply that the recognition shall be done independently of object position, scale …
we imply that the recognition shall be done independently of object position, scale …
View-based models of 3D object recognition: invariance to imaging transformations
This report describes the main features of a view-based model of object recognition. The
model does not attempt to account for specific cortical structures; it tries to capture general …
model does not attempt to account for specific cortical structures; it tries to capture general …
Three-dimensional recognition and tracking using neural networks trained on optimal views
B Takacs, LS Sadovnik - Optical Engineering, 1998 - spiedigitallibrary.org
We describe a general approach to the representation and recognition of 3-D objects as it
applies to automatic target recognition (ATR) tasks. The method is based on locally adaptive …
applies to automatic target recognition (ATR) tasks. The method is based on locally adaptive …
Three-dimensional object recognition
S Ullman - Cold Spring Harbor Symposia on Quantitative …, 1990 - symposium.cshlp.org
The task of visual object recognition is performed efficiently and effortlessly by humans,
including young children. Simpler animals, such as the pigeon, also exhibit a remarkable …
including young children. Simpler animals, such as the pigeon, also exhibit a remarkable …
[引用][C] The visual recognition of three-dimensional objects
S Ullman - 1993 - direct.mit.edu
The task of visual object recognition is performed efficiently and effortlessly by humans,
including young children. Simpler animals, such as the pigeon, also exhibit a remarkable …
including young children. Simpler animals, such as the pigeon, also exhibit a remarkable …
Learning and recognizing 3D objects from multiple views in a neural system
M Seibert, AM Waxman - Neural networks for perception, 1992 - Elsevier
Publisher Summary This chapter focuses on learning and recognizing 3D objects from
multiple views in a neural system. In this approach of designing a 3D object recognition …
multiple views in a neural system. In this approach of designing a 3D object recognition …
A network that learns to recognize three-dimensional objects
THE visual recognition of three-dimensional (3-D) objects on the basis of their shape poses
at least two difficult problems. First, there is the problem of variable illumination, which can …
at least two difficult problems. First, there is the problem of variable illumination, which can …