|
1000
|
An Iterative Image Registration Technique with an Application to Stereo Vision
– Lucas, Kanade
- 1981
|
|
654
|
Shape And Motion From Image Streams Under Orthography: A Factorization Method
– Tomasi, Kanade
- 1992
|
|
256
|
Affine structure from motion
– Koenderink, Doorn
- 1991
|
|
213
|
Determining three-dimensional motion and structure from optical flow generated by several moving objects
– Adiv
- 1985
|
|
204
|
A paraperspective factorization method for shape and motion recovery
– Poelman, Kanade
- 1993
|
|
202
|
Recursive estimation of motion, structure and focal length
– Azarbayejani, Pentland
- 1995
|
|
172
|
Recovering 3D shape and motion from image streams using non-linear least squares
– Szeliski, Kang
- 1994
|
|
167
|
Kalman filter-based algorithms for estimating depth from image sequences
– Matthies, Kanade, et al.
- 1989
|
|
125
|
Optimal motion and structure estimation
– Weng, Ahuja, et al.
- 1993
|
|
89
|
Estimation of object motion parameters from noisy images
– Broida, Chellappa
- 1986
|
|
73
|
Applications of dynamic monocular machine vision
– Dickmanns, Graefe
- 1988
|
|
46
|
Shape Recovery from Multiple Views: a Parallax Based Approach. ARPA Image Understanding Workshop
– Kumar, Anandan, et al.
- 1994
|
|
43
|
Simplifying motion and structure analysis using planar parallax and image warping
– Sawhney
- 1994
|
|
40
|
Three-dimensional motion computation and object segmentation in a long sequence of stereo frames
– Zhang, Faugeras
- 1992
|
|
40
|
Recursive affine structure and motion from image sequences
– McLauchlan, Reid, et al.
- 1994
|
|
40
|
Motion from point matches using affine epipolar geometry
– Shapiro, Zisserman, et al.
- 1994
|
|
39
|
A multi-frame approach to visual motion perception
– Spetsakis, Aloimonos
- 1991
|
|
37
|
Three dimensional vision, a geometric viewpoint
– Faugeras
- 1993
|
|
27
|
Subspace methods for recovering rigid motion II: Theory
– Jepson, Heeger
- 1990
|
|
24
|
Direct recovery of motion and shape in the general case by xation
– Taalebinezhaad
- 1992
|
|
22
|
Recursive Multi-frame Structure from Motion Incorporating Motion Error
– Thomas, Oliensis
- 1992
|
|
21
|
3-D Motion and Structure Causally Integrated over Time
– Chiuso, Favaro, et al.
|
|
20
|
Tracking facilitates 3-d motion estimation
– Fermuller, Aloimonos
- 1992
|
|
19
|
Estimation of three-dimensional motion of rigid objects from noisy observations
– Philip
- 1991
|
|
19
|
Reducing ”structure from motion”: A general framework for dynamic vision part 2: Implementation and experimental assessment
– Soatto, Perona
- 1998
|
|
18
|
Dynamic Motion Vision
– Heel
- 1989
|
|
18
|
Gauge invariance in projective 3d reconstruction
– Mclauchlan
- 1999
|
|
17
|
Tracking known 3-dimensional object
– Gennery
- 1982
|
|
16
|
An Introduction to Stochastic Processes
– Bartlett
- 1955
|
|
12
|
Observability/identifiability of rigid motion under perspective projection
– Soatto
- 1994
|
|
9
|
Motion and Structure Estimation Using Long Sequence Motion Models
– Hu, Ahuja
- 1993
|
|
8
|
Provably correct algorithms for multi-frame structure from motion
– Oliensis
- 1996
|
|
8
|
A necessary and sufficient condition for the perspective observability problem
– Dayawansa, Ghosh, et al.
- 1995
|
|
7
|
Recursive ane structure and motion from image sequences
– McLauchlan, Reid, et al.
- 1994
|
|
5
|
3-d structure from visual motion: modeling, representation and observability
– Soatto
- 1997
|
|
4
|
Motion from point matches using ane epipolar geometry
– Shapiro, Zisserman, et al.
- 1994
|
|
3
|
ªReal-Time 3-D Motion and Structure from Point Features: A Front-End System for Vision-Based Control and Interaction,º
– Jin, Favaro, et al.
- 2000
|
|
2
|
A necessary and su cient condition for the perspective observability problem
– Dayawansa, Ghosh, et al.
- 1995
|
|
2
|
Reducing \structure from motion": a general framework for dynamic vision. part 1: modeling
– Soatto, Perona
- 1998
|