Photometric Motion

Authors:
Alex Pentland
Affiliations:
-
Venue:
IEEE Transactions on Pattern Analysis and Machine Intelligence
Year:
1991

Citing 4
Cited 7

On the Imaging of Fractal Surfaces

IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic extraction of deformable part models

International Journal of Computer Vision
Linear shape from shading

International Journal of Computer Vision
Height and gradient from shading

International Journal of Computer Vision

Shape from Shading: A Survey

IEEE Transactions on Pattern Analysis and Machine Intelligence
Point Light Source Estimation from Two Images and Its Limits

International Journal of Computer Vision
Geotensity: Combining Motion and Lighting for 3D Surface Reconstruction

International Journal of Computer Vision
Constructing Illumination Image Basis from Object Motion

ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Geotensity Constraint for 3D Surface Reconstruction under Multiple Light Sources

ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part I
Integrating Motion, Illumination, and Structure in Video Sequences with Applications in Illumination-Invariant Tracking

IEEE Transactions on Pattern Analysis and Machine Intelligence
3D surface reconstruction of a moving object in the presence of specular reflection

ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing

Quantified Score

Hi-index	0.14

Visualization

Abstract

The author compares the photometric effects of motion (which is defined as the variation of a point's imaged intensity as a consequence of motion) and the geometric effects of motion (which is defined as the variation in projected surface geometry as a consequence of motion). It is shown that photometric motion provides a cue to surface shape that is potentially as useful as that provided by geometric motion. A simple technique for using this photometric motion information to extract both surface shape and reflectance is developed, and a biological implementation is proposed. How this photometric motion mechanism can be integrated with and used to enhance existing structure-motion algorithms is discussed. Intensity information is sometimes even more important than geometric distortion when estimating the shape of a single, continuous surface that is rotating relative to the observer's frame of reference.