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» Recovering Illumination and Texture Using Ratio Images
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CVPR
2011
IEEE
14 years 7 months ago
Recovering Shape from a Single Image of a Mirrored Surface from Curvature Constraints
This paper presents models and algorithms for estimating the shape of a mirrored surface from a single image of that surface, rendered under an unknown, natural illumination. Whil...
Marshall Tappen
ICCV
2009
IEEE
16 years 4 months ago
Seeing through water: Image restoration using model-based tracking
A video sequence of an underwater scene taken from above the water surface suffers from severe distortions due to water fluctuations. In this paper, we simultaneously estimate t...
Yuandong Tian, Srinivasa G. Narasimhan
CVPR
2011
IEEE
14 years 8 months ago
Camera Calibration with Lens Distortion from Low-rank Textures
We present a simple, accurate, and flexible method to calibrate intrinsic parameters of a camera together with (possibly significant) lens distortion. This new method can work u...
Zhengdong Zhang, Yasuyuki Matsushita, Yi Ma
ICCV
2003
IEEE
16 years 1 months ago
A Class of Photometric Invariants: Separating Material from Shape and Illumination
We derive a new class of photometric invariants that can be used for a variety of vision tasks including lighting invariant material segmentation, change detection and tracking, a...
Srinivasa G. Narasimhan, Visvanathan Ramesh, Shree...
ICCV
2005
IEEE
16 years 1 months ago
Consistent Surface Color for Texturing Large Objects in Outdoor Scenes
Color appearance of an object is significantly influenced by the color of the illumination. When the illumination color changes, the color appearance of the object will change acc...
Rei Kawakami, Katsushi Ikeuchi, Robby T. Tan