Introduction to non-linear optimization
Introduction to non-linear optimization
International Journal of Computer Vision
A physical approach to color image understanding
International Journal of Computer Vision
On the use of time varying shading and surface rim irradiance
Pattern Recognition Letters
On surface orientation detection in 3-D
Pattern Recognition Letters
IEEE Transactions on Pattern Analysis and Machine Intelligence
Surface Reflection: Physical and Geometrical Perspectives
IEEE Transactions on Pattern Analysis and Machine Intelligence
Constraining Object Features Using a Polarization Reflectance Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
Estimation of Illuminant Direction, Albedo, and Shape from Shading
IEEE Transactions on Pattern Analysis and Machine Intelligence
Differential algorithm for the determination of shape from shading using a point light source
Image and Vision Computing
Statistical Analysis of Inherent Ambiguities in Recovering 3-D Motion from a Noisy Flow Field
IEEE Transactions on Pattern Analysis and Machine Intelligence
Model-based object tracking in monocular image sequences of road traffic scenes
International Journal of Computer Vision
Computing occluding and transparent motions
International Journal of Computer Vision
Shape from shading with perspective projection
CVGIP: Image Understanding
Illumination Planning for Object Recognition Using Parametric Eigenspaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Generalization of the Lambertian model and implications for machine vision
International Journal of Computer Vision
Optimal sensor and light source positioning for machine vision
Computer Vision and Image Understanding
Determining motion fields under non-uniform illumination
Pattern Recognition Letters
Computer Vision and Image Understanding
Efficient illumination normalization of facial images
Pattern Recognition Letters
Reflectance based object recognition
International Journal of Computer Vision
3D Surface Estimation and Model Construction From Specular Motion in Image Sequences
IEEE Transactions on Pattern Analysis and Machine Intelligence
Toward Accurate Recovery of Shape from Shading Under Diffuse Lighting
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recovering photometric properties of architectural scenes from photographs
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
Discrete-time signal processing (2nd ed.)
Discrete-time signal processing (2nd ed.)
Improved Diffuse Reflection Models for Computer Vision
International Journal of Computer Vision
Recursive estimation of illuminant motion from flow field and simultaneous recovery of shape
Computer Vision and Image Understanding
Illumination for computer generated pictures
Communications of the ACM
Statistical Optimization for Geometric Computation: Theory and Practice
Statistical Optimization for Geometric Computation: Theory and Practice
3d Computer Graphics
Computer and Robot Vision
Dynamic 3-D Scene Analysis Through Synthesis Feedback Control
IEEE Transactions on Pattern Analysis and Machine Intelligence
Optimal Motion and Structure Estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Illumination Analysis for Synthetic/Natural Hybrid Image Sequence Generation
CGI '98 Proceedings of the Computer Graphics International 1998
Motion compensation in color video with illumination variations
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 3 - Volume 3
Computing 3D Models of Rotating Objects from Moving Shading
ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270
Augmented reality with automatic illumination control incorporatingellipsoidal models
IEEE Transactions on Multimedia
IEEE Transactions on Image Processing
Simultaneous estimation of super-resolved depth map and intensity field using photometric cue
Computer Vision and Image Understanding
Recovering surface reflectance and multiple light locations and intensities from image data
Pattern Recognition Letters
Simultaneous estimation of super-resolved depth map and intensity field using photometric cue
Computer Vision and Image Understanding
| Hi-index | 0.00 |
In this paper, the performance of parameter estimation of a single static distant point light source from two video imagesis analyzed in terms of estimation theory. The illuminationparameters are the intensity and direction of the light source.In the first part of this paper, estimators from the literature arereviewed. Most recent estimators evaluate as input data two video images aswell as the 3D shape and the 3D motion of the visible moving objects.In the second part of the paper, the performance of these recent methodsis analyzed. The input data to estimation as well as the inherent inputdata errors are described by a stochastic observation model. Based on thismodel, the performance is analyzed regarding the Cramér-Rao theoreticallower bound of estimation error variances. The bound is derived for avariety of cases of scene illumination, object motion and errors in inputdata. For simplification purpose, the bound is valid only for objectmotions with the rotation axis lying in the image plane. The analysis showsin which cases which estimation accuracy can be expected with currentmethods.Finally, a comparison of the bound with one of the recent estimators showsthat recent estimators are suboptimal in case of errors in the 3D shape ofthe objects. In future work, the stochastic observation model presented inthis paper can be used to improve illumination estimation.