Sc. Pei et Lg. Liou, WHAT CAN BE SEEN IN A NOISY OPTICAL-FLOW FIELD PROJECTED BY A MOVING PLANAR PATCH IN 3D SPACE, Pattern recognition, 30(9), 1997, pp. 1401-1413
Citations number
28
Categorie Soggetti
Computer Sciences, Special Topics","Engineering, Eletrical & Electronic","Computer Science Artificial Intelligence
In this paper, we would like to propose a brand new interpretation to
the so-called ''structure-from-motion'' (SFM) problem. The optical flo
w field projected by a moving rigid planar patch in 3D space is our ma
in consideration. Instead of just obtaining an explicit 3D motion/pose
solution like the old approaches did before, we focus our attention o
n analyzing its error sensitivity, uncertainty, and ambiguity from ano
ther point of view. Our new method can handle the above error analysis
easily. As known well before, the optical flow field projected by a 3
D moving planar patch can be completely expressed by eight coefficient
s (two for second-order, four for first-order, and two for zeroth-orde
r). Based on these flow coefficients easily determined by a linear reg
ression method or other similar approaches, the error sensitivity of 3
D estimates can be analyzed quantitatively and qualitatively in a coar
se-to-fine way. The concepts of camera fixation and singular value dec
omposition (SVD) play important roles in our analysis. There are three
goals for our experiments: (1) To prove the correctness of the algori
thms (simulated image). (2) To show the tendency of error sensitivity
when the 3D poses of the target planar patch are varied in a controlle
d manner (simulated image). (3) To show that our analysis is workable
in the real-world application (real-world image). (C) 1997 Pattern Rec
ognition Society. Published by Elsevier Science Ltd.