Numerical recipes in C: the art of scientific computing
Numerical recipes in C: the art of scientific computing
Illumination control expert for machine vision: a goal driven approach
Illumination control expert for machine vision: a goal driven approach
Visual learning and recognition of 3-D objects from appearance
International Journal of Computer Vision
Point Light Source Estimation from Two Images and Its Limits
International Journal of Computer Vision
A Distributed Algorithm for Content Based Indexing of Images by Projections on Ritz Primary Images
Data Mining and Knowledge Discovery
Color image segmentation using fuzzy C-means and eigenspace projections
Signal Processing
Feature Space Trajectory Methods for Active Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Constructing Facial Identity Surfaces for Recognition
International Journal of Computer Vision
A Robust PCA Algorithm for Building Representations from Panoramic Images
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Nonlinear Feature Extraction Using Generalized Canonical Correlation Analysis
ICANN '01 Proceedings of the International Conference on Artificial Neural Networks
Recognizing Objects by Their Appearance Using Eigenimages
SOFSEM '00 Proceedings of the 27th Conference on Current Trends in Theory and Practice of Informatics
Spectral Feature Vectors for Graph Clustering
Proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Robust Recognition of Scaled Eigenimages through a Hierarchical Approach
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Illumination insensitive recognition using eigenspaces
Computer Vision and Image Understanding
Active Appearance-Based Robot Localization Using Stereo Vision
Autonomous Robots
An Analysis of Linear Subspace Approaches for Computer Vision and Pattern Recognition
International Journal of Computer Vision
A spectral approach to learning structural variations in graphs
Pattern Recognition
Locality preserving CCA with applications to data visualization and pose estimation
Image and Vision Computing
Pattern Recognition
IEICE - Transactions on Information and Systems
A generative model for graph matching and embedding
Computer Vision and Image Understanding
Viewpoint manifolds for action recognition
Journal on Image and Video Processing - Special issue on video-based modeling, analysis, and recognition of human motion
Eigendecomposition of images correlated on S1, S2, and SO(3) using spectral theory
IEEE Transactions on Image Processing
Embedding view-dependent covariance matrix in object manifold for robust recognition
SPPRA '08 Proceedings of the Fifth IASTED International Conference on Signal Processing, Pattern Recognition and Applications
GbRPR'03 Proceedings of the 4th IAPR international conference on Graph based representations in pattern recognition
A framework for robust and incremental self-localization of a mobile robot
ICVS'03 Proceedings of the 3rd international conference on Computer vision systems
Interpolation between eigenspaces using rotation in multiple dimensions
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
Coarse head pose estimation of construction equipment operators to formulate dynamic blind spots
Advanced Engineering Informatics
Dynamically visual learning for people identification with sparsely distributed cameras
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
A linear generative model for graph structure
GbRPR'05 Proceedings of the 5th IAPR international conference on Graph-Based Representations in Pattern Recognition
A dictionary registration method for reducing lighting fluctuations in subspace face recognition
PCM'04 Proceedings of the 5th Pacific Rim Conference on Advances in Multimedia Information Processing - Volume Part II
Dimension reduction methods for image pattern recognition
SIMBAD'13 Proceedings of the Second international conference on Similarity-Based Pattern Recognition
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Presents a novel approach to the problem of illumination planning for robust object recognition in structured environments. Given a set of objects, the goal is to determine the illumination for which the objects are most distinguishable in appearance from each other. Correlation is used as a measure of similarity between objects. For each object, a large number of images is automatically obtained by varying the pose and the illumination direction. Images of all objects together constitute the planning image set. The planning set is compressed using the Karhunen-Loeve transform to obtain a low-dimensional subspace, called the eigenspace. For each illumination direction, objects are represented as parametrized manifolds in the eigenspace. The minimum distance between the manifolds of two objects represents the similarity between the objects in the correlation sense. The optimal source direction is therefore the one that maximizes the shortest distance between the object manifolds. Several experiments have been conducted using real objects. The results produced by the illumination planner have been used to enhance the performance of an object recognition system.