Jin, H.L.[Hai-Lin],
Favaro, P.,
Soatto, S.,
A semi-direct approach to structure from motion,
VC(19), No. 6, October 2003, pp. 377-394.
Springer DOI
BibRef
0310
Earlier: A2, A1, A3:
CIAP01(250-255).
IEEE DOI
HTML Version.
0210
Use region information.
BibRef
Jin, H.L.[Hai-Lin],
Favaro, P.[Paolo],
Cipolla, R.[Roberto],
Visual Tracking in the Presence of Motion Blur,
CVPR05(II: 18-25).
IEEE DOI
0507
BibRef
Jin, H.L.[Hai-Lin],
Favaro, P.[Paolo],
Soatto, S.[Stefano],
Real-Time Feature Tracking and Outlier Rejection with Changes in
Illumination,
ICCV01(I: 684-689).
IEEE DOI
HTML Version.
0106
BibRef
Earlier:
Real-time 3D motion and structure of point features: a front-end system
for vision-based control and interaction,
CVPR00(II: 778-779).
IEEE DOI
0403
See also Structure from Motion Causally Integrated Over Time.
BibRef
Kim, Y.H.[Yeon-Ho],
Martínez, A.M.[Aleix M.],
Kak, A.C.[Avi C.],
Robust motion estimation under varying illumination,
IVC(23), No. 4, 1 April 2005, pp. 365-375.
Elsevier DOI
0501
BibRef
Earlier:
A Local Approach for Robust Optical Flow Estimation under Varying
Illumination,
BMVC04(xx-yy).
HTML Version.
0508
BibRef
Kim, Y.H.[Yeon-Ho],
Kak, A.C.,
Error Analysis of Robust Optical Flow Estimation by Least Median of
Squares Methods for the Varying Illumination Model,
PAMI(28), No. 9, September 2006, pp. 1418-1435.
IEEE DOI
0608
BibRef
Xu, Y.L.[Yi-Lei],
Roy-Chowdhury, A.K.[Amit K.],
Integrating Motion, Illumination, and Structure in Video Sequences with
Applications in Illumination-Invariant Tracking,
PAMI(29), No. 5, May 2007, pp. 793-806.
IEEE DOI
0704
BibRef
Earlier:
Learning Illumination Models While Tracking,
3DPVT06(994-1001).
IEEE DOI
0606
BibRef
Earlier:
Integrating the Effects of Motion, Illumination and Structure in Video
Sequences,
ICCV05(II: 1675-1682).
IEEE DOI
0510
Combine all into 9 illumination parameters and 6 motion variables.
BibRef
Xu, Y.L.[Yi-Lei],
Roy-Chowdhury, A.K.[Amit K.],
Efficient motion estimation under varying illumination,
ICIP08(1992-1995).
IEEE DOI
0810
BibRef
Nyugen, L.,
Xu, Y.L.[Yi-Lei],
Roy-Chowdhury, A.K.[Amit K.],
An Illumination Invariant 3D Model Based Tracking Algorithm, with
Application in Video Compression,
ICIP06(1213-1216).
IEEE DOI
0610
BibRef
Song, B.,
Roy-Chowdhury, A.K.,
Tuncel, E.,
A Multi-Terminal Model-Based Video Compression Algorithm,
ICIP06(265-268).
IEEE DOI
0610
BibRef
Cai, J.,
Walker, R.,
Height estimation from monocular image sequences using dynamic
programming with explicit occlusions,
IET-CV(4), No. 3, September 2010, pp. 149-161.
DOI Link
1008
From a sequence.
Illumination normalization, then use objects with known distances to
estimat the camera parameters, then get the heights.
BibRef
Zia, A.[Ali],
Zhou, J.[Jun],
Gao, Y.S.[Yong-Sheng],
Exploring Chromatic Aberration and Defocus Blur for Relative Depth
Estimation From Monocular Hyperspectral Image,
IP(30), 2021, pp. 4357-4370.
IEEE DOI
2104
BibRef
Earlier:
Relative Depth Estimation from Hyperspectral Data,
DICTA15(1-7)
IEEE DOI
1603
Estimation, Hyperspectral imaging, Cameras, Image edge detection,
Apertures, Manifold learning, Hyperspectral image,
manifold learning.
edge detection
BibRef
Zia, A.[Ali],
Liang, J.[Jie],
Zhou, J.[Jun],
Gao, Y.S.[Yong-Sheng],
3D Reconstruction from Hyperspectral Images,
WACV15(318-325)
IEEE DOI
1503
Histograms. First using structure from motion, 3D estimate for each wavelength,
then registration and refinement.
BibRef
Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Aerial Vehicle Based Structure, UAV, Depth, and Shape from Motion .