16.4 Structure from Motion - Other

Chapter Contents (Back)
Motion, Structure. See also Structure, Depth, and Shape from Motion. See also Surface Reconstruction from Optical Flow.

Milano, A., Perotti, F., Serpico, S.B., Vernazza, G.,
A System for the Interpretation of 3-D Moving Scenes from 2-D Image Sequences,
PRAI(5), 1991, pp. 765-796. BibRef 9100

Arbogast, E., Mohr, R.,
3-D Structure Inference from Image Sequences,
PRAI(5), 1991, pp. 749-764. BibRef 9100

Zhao, C., Mohr, R.,
Epipolar Parameterization for Reconstructing a 3D Rigid Curve,
SCV95(67-72).
IEEE DOI LIFIA-INRIA. Reconstruct a curve. BibRef 9500

Jiang, X.Y., Bunke, H.,
Line Segment-Based Axial Motion Stereo,
PR(28), No. 4, April 1995, pp. 553-562.
Elsevier DOI BibRef 9504

Wells, III, W.M.,
Visual Estimation of 3-D Line Segments from Motion: A Mobile Robot Vision System,
RA(5), 1989, pp. 820-825. BibRef 8900
Earlier: AAAI-87(772-776). BibRef

Bennett, B.M., Hoffman, D.D., Kim, J.S., Richman, S.N.,
Inferring 3D Structure from Image Motion: The Constraint of Poinsot Motion,
JMIV(3), 1993, pp. 143-166. BibRef 9300

Bennett, B.M., and Hoffman, D.D.,
Inferring 3D Structure from Three Points in Rigid Motion,
JMIV(4), 1994, pp. 401-406. BibRef 9400

He, D., Benhabib, B.,
Solving the Orientation Duality Problem for a Circular Feature in Motion,
SMC-A(28), No. 4, July 1998, pp. 506-515.
IEEE Top Reference. 9807
BibRef

Guerrero, J.J., Sagues, C.,
Direct Method to Obtain Straight Edge Depth from Motion,
OptEng(37), No. 7, July 1998, pp. 2124-2132. 9808
BibRef

López-Nicolás, G., Guerrero, J.J., Pellejero, O.A., Sagüés, C.,
Computing Homographies from Three Lines or Points in an Image Pair,
CIAP05(446-453).
Springer DOI 0509
BibRef

Chiuso, A.[Alessandro], Brockett, R.[Roger], Soatto, S.[Stefano],
Optimal Structure from Motion: Local Ambiguities and Global Estimates,
IJCV(39), No. 3, September-October 2000, pp. 195-228.
DOI Link
PDF File. 0101
BibRef
Earlier: A3, A2 only: CVPR98(282-288).
IEEE DOI Award, CVPR. Compare to epipolar and linear subspace methods. BibRef

Dorst, L.,
First Order Error Propagation of the Procrustes Method for 3D Attitude Estimation,
PAMI(27), No. 2, February 2005, pp. 221-229.
IEEE Abstract. 0501
Procrustes method determines the optimal rigid body motion that registers two point clouds by minimizing the square distances of the residuals. BibRef

Bazin, J.C.[Jean-Charles], Demonceaux, C.[Cedric], Vasseur, P.[Pascal], Kweon, I.S.[In-So],
Motion estimation by decoupling rotation and translation in catadioptric vision,
CVIU(114), No. 2, February 2010, pp. 254-273.
Elsevier DOI 1002
Catadioptric vision; Line detection; Rotation estimation; Translation estimation; Motion decoupling; Camera-IMU calibration See also Markov random fields for catadioptric image processing. BibRef

Bazin, J.C.[Jean-Charles], Yoon, K.J.[Kuk-Jin], Kweon, I.S.[In-So], Demonceaux, C.[Cedric], Vasseur, P.[Pascal],
Particle Filter Approach Adapted to Catadioptric Images for Target Tracking Application,
BMVC09(xx-yy).
PDF File. 0909
BibRef

Demonceaux, C.[Cedric], Vasseur, P.[Pascal],
Omnidirectional image processing using geodesic metric,
ICIP09(221-224).
IEEE DOI 0911
BibRef

Bazin, J.C.[Jean-Charles], Kweon, I.S.[In-So], Demonceaux, C.[Cedric], Vasseur, P.[Pascal],
Improvement of feature matching in catadioptric images using gyroscope data,
ICPR08(1-5).
IEEE DOI 0812
BibRef
And:
Spherical Region-Based Matching of Vanishing Points in Catadioptric Images,
OMNIVIS08(xx-yy). 0810
See also Rectangle Extraction in Catadioptric Images. BibRef

Rieck, M.Q.[Michael Q.],
An Algorithm for Finding Repeated Solutions to the General Perspective Three-Point Pose Problem,
JMIV(42), No. 1, January 2012, pp. 92-100.
WWW Link. 1201
BibRef

Rieck, M.Q.[Michael Q.],
A Fundamentally New View of the Perspective Three-Point Pose Problem,
JMIV(48), No. 3, March 2014, pp. 499-516.
WWW Link. 1403
BibRef

Rieck, M.Q.[Michael Q.],
Related Solutions to the Perspective Three-Point Pose Problem,
JMIV(53), No. 2, October 2015, pp. 225-232.
Springer DOI 1508
BibRef

Horemuz, M., Zhao, Y.,
Motion of moving camera from point matches: Comparison of two robust estimation methods,
IET-CV(8), No. 6, 2014, pp. 682-689.
DOI Link 1502
cameras BibRef

Wang, P.[Ping], Xu, G.[Guili], Wang, Z.S.[Zheng-Sheng], Cheng, Y.[Yuehua],
An efficient solution to the perspective-three-point pose problem,
CVIU(166), No. 1, 2018, pp. 81-87.
Elsevier DOI 1712
Perspective-three-point problem (P3P) BibRef


Merzban, M.H.[Mohamed H.], Abdellatif, M.[Mohamed], Abouelsoud, A.A.,
A simple solution for the non perspective three point pose problem,
IC3D14(1-6)
IEEE DOI 1503
Accuracy BibRef

Fossati, A.[Andrea], Grabner, H.[Helmut], van Gool, L.J.[Luc J.],
Exploiting Physical Inconsistencies for 3D Scene Understanding,
3DIMPVT12(136-143).
IEEE DOI 1212
Difference between predicted tracks and actual tracks for camera motion and surfaces. BibRef

Arie-Nachimson, M.[Mica], Kovalsky, S.Z.[Shahar Z.], Kemelmacher-Shlizerman, I.[Ira], Singer, A.[Amit], Basri, R.[Ronen],
Global Motion Estimation from Point Matches,
3DIMPVT12(81-88).
IEEE DOI 1212
BibRef

Okouneva, G., McTavish, D.J., Gillespie, M., Enright, J.,
Development of Continuum Shape Constraint Analysis (CSCA) for Computer Vision Applications Using Range Data,
CRV08(376-383).
IEEE DOI 0805
BibRef

McTavish, D.J., Okouneva, G.,
A New Approach to Geometrical Feature Assessment for ICP-Based Pose Measurement: Continuum Shape Constraint Analysis,
IMVIP07(23-32).
IEEE DOI 0709
BibRef

McTavish, D.J., Okouneva, G., Enright, J., Schumacher, R.,
A Dynamics Estimation Filter for Pose and Motion Estimation in Orbit,
IMVIP07(203-203).
IEEE DOI 0709
BibRef

Shahid, K., Okouneva, G., McTavish, D.J., Karpynczyk, J.,
Stability Improvement of Vision Algorithms,
CRV06(71-71).
IEEE DOI 0607
Improve pose estimations through the sequence. BibRef

Moll, M.[Mark], Erdmann, M.A.[Michael A.],
Shape Reconstruction in a Planar Dynamic Environment,
CMU-CS-TR-01-107, May 2001.
HTML Version. Shape with tactile sensors. 0105
BibRef

Kuhn, P.,
Camera Motion Estimation Using Feature Points in MPEG Compressed Domain,
ICIP00(Vol III: 596-599).
IEEE DOI 0008
BibRef

Strelow, D.W.[Dennis W.], Gardner, W.F.[Warren F.], Hoffman, R.[Regis], Mishler, J.[Jeff], Persi, F.[Fred],
A Shape and Motion Engine for Parameterized Models,
DARPA98(1291-1300). SBIR. Implementation. BibRef 9800

Wang, C., Sakaue, K.,
Acquiring 3d Model of Object by Motion-stereo,
MVA98(xx-yy). BibRef 9800

Tziritas, G.,
Estimation of Motion and Structure of 3-D Objects from a Sequence of Images,
ICCV87(693-697). BibRef 8700

Mori, T., Yamamoto, M.,
A Dynamic Depth Extraction Method,
ICCV90(672-676).
IEEE DOI BibRef 9000

Hill, A., Cootes, T.F., Taylor, C.J.,
Least-Squares Solution of Absolute Orientation with Non-Scalar Weights,
ICPR96(I: 461-465).
IEEE DOI 9608
(Univ. of Manchester, UK) BibRef

Rebuffel, V., Sune, J.,
Estimation of Depth-from-Motion Combining Iterative Prediction Scheme and Regularization Framework,
ICPR96(I: 466-470).
IEEE DOI 9608
(LETI, F) BibRef

Zhou, L.X., Gu, W.K.,
Linear 3D LMS Motion Estimation,
ICPR96(A80.2). 9608
(Zhejiang Univ., PRC) BibRef

Lee, M.S., Medioni, G., Deriche, R.,
Structure and Motion from a Sparse Set of Views,
SCV95(73-78).
IEEE DOI BibRef 9500 USC Computer Vision BibRef
And: A1, A2 only: ARPA96(1051-1056). University of Southern California. INRIA. Sparse -- not densely sampled. Compute locations of features relative to a single reference frame. Somewhat related to the uncalibrated stereo work. BibRef

Dron, L.[Lisa],
Computing 3-D Motion in Custom Analog and Digital VLSI,
MIT AI-TR-1498, November 1994.
WWW Link. BibRef 9411

Sun, C.M.[Chang-Ming],
Robust Estimation for Motion Parameters,
BMVC94(xx-yy).
PDF File. 9409
BibRef

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Special Case Motion Estimation .


Last update:Nov 17, 2018 at 09:12:27