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ARUP; ISBN: 978-0-9562121-5-3 - CMBBE 2012 - Cardiff University

ARUP; ISBN: 978-0-9562121-5-3 - CMBBE 2012 - Cardiff University

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up1 = ( u1x, u1y,1)<br />

and up2 = ( u2x, u2y,1)<br />

in the reference grid so that u1 = up1× up2.<br />

u1, u2... u n are the vanishing lines in X direction , v1, v2... v n are the vanishing lines in Y<br />

direction and w1, w2... w n are the vanishing lines in Z direction.<br />

The best fit vanishing point u in X direction is computed by considering the<br />

eigenvector associated with the smallest Eigen value of the second moment matrix (M)<br />

1<br />

of the set of vanishing lines u1, u2... u n , obtained by<br />

1<br />

n<br />

T<br />

M = ∑ uu i i . Similarly for v and<br />

n i=<br />

w along Y and Z directions [7]. The principal point pp has been estimated from the<br />

vanishing point triplet ( uvwalong , , ) the orthogonal reference planes.<br />

The planar offset of the measurement plane ' OBy Z = (264mm) in the palmar view<br />

π is 1<br />

Fig. 4 User selected points of interest in palmer and lateral<br />

views, used for extracting joint parameters.<br />

and 2 OBy Z = (616mm) in the<br />

lateral view. The reference<br />

distance TyBy (528mm) is used<br />

along with planar offset OBy for<br />

determining the affine parameter<br />

α y spanning the vanishing points<br />

[ uv , ] , by selecting the points Ty<br />

and By in the image. The<br />

reference distance txbx (528mm,<br />

by selecting the points tx and bx)<br />

α<br />

is used along with planar offset OBy for determining the affine parameter and x<br />

spanning the vanishing points [ uw , ] in (1). Once α x and α y has been determined in<br />

the initial setup, it can be used for determining the distance (Z) for the remaining frames<br />

as long as the camera is not moved. l1= By× u and l2= By× v are the rays lies on π '<br />

and passes through u and v respectively. Tx = l 1 × (tx×w) and Bx = l 1 × (bx×w) are the<br />

projection of reference lengths in π ' . Hence l 1 and 2<br />

l are new base references for any<br />

measurement along vanishing point v and u respectively. If tm = P( x′ , y′<br />

) is user<br />

selected point set (Fig. 4) in π ' , the vanishing line through tm and v is lvtm = ( tm× v)<br />

,<br />

corresponding bottom point is bm = ( lvtm × l1)<br />

. Now given the affine factor α y , and the<br />

vanishing line l 1,<br />

dy can be estimated from (1) , where<br />

x tm, x ' bm, l l1 , and w v<br />

α andl 2 , dx can be estimated from<br />

= = = = . Similarly given x<br />

(1), where x = tm, x ' = bm, l = l2 , and w = u . Hence for any point P i selected in the<br />

plane π ' , the corresponding metric rectified set Pri = ( dx, dy)<br />

. Once the coordinates of<br />

these points are estimated in the Euclidian space, the next step of calculating the joint<br />

jangles and joint offset length is trivial. Feature detection and extraction, whether<br />

manual or automatic (using an edge detector), can only be achieved to a finite accuracy.<br />

The summary of steps involved estimation of uncertainty are mentioned below [1,2].<br />

Repeat k times ( k= 20)<br />

[i] Select the center of marked points A-L and N-U , input variables x i . [ii]<br />

Compute mean x i , std. deviation i<br />

σ x and covariance i Λ x . [iii] Generate the

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