Paper Info
Title
Natural Image Correction by Iterative Linear Projection onto Eigenspaces
Abstract
The present paper reports an image correction method that is based on iterative projection onto eigenspaces. The fundamental method proposed in Shakunaga and Sakaue(ll) and involves iterative anal- ysis of relative residual and projection. The present paper refines the projection method by solving linear equations while taking noise ratio into account. The refinement improves both the efficiency and robust- ness of the projection. Experimental results indicate that the proposed method works well for various kinds of noise, including shadows, reflections and occlusions. The proposed method can be applied to a wide variety of computer vision problems, which include objectiface recognition and image-based rendering.
Year
Venue
Keywords
2002
MVA
computer vision,image based rendering,projection method,linear equations
Field
DocType
Citations 
Oblique projection,Computer vision,Graphical projection,Projection (mathematics),Orthographic projection,Dykstra's projection algorithm,Projection (linear algebra),Projection method,3D projection,Artificial intelligence,Mathematics
Conference
0
PageRank 
References 
Authors
0.34
12
2
Name
Order
Citations
PageRank
Fumihiko Sakaue14619.84
Takeshi Shakunaga219243.46