Page - 155 - in Joint Austrian Computer Vision and Robotics Workshop 2020
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ThelineL ismappedtosomecurveC inthe(x,y)
plane by the inverse functionu 7→ x from (8), (9).
Then,w(Ï•) is proportional to the area of the part of
D% that lies on the right side ofC. We will there-
fore study in the following the part ofCwithinD%.
For sufficiently small%, this is a curve segment cor-
respondingtoaparameter interval [t−,t+] for t,with
t±=O(%).
We calculate a parametric representation ofC by
inserting (10) into (8), (9) toobtain
x(t) .
=λ%2+ tp−at2p2−bt2q2−ct2pq , (11)
y(t) .
=µ%2+ tq−dt2p2−et2q2−ft2pq . (12)
By easy estimates, one has t± .=±%+ r±%2 with
r± = O(1). Thus, the intersection points x+ =
(x(t+),y(t+))T,x− = (x(t−),y(t−))T ofCwith
the boundaryofD% aregivenby
x± .=±% (
p
q )
+%2η± , (13)
η±= ( λ+r±p−ap2−bq2−cpq
µ+r±q−dp2−eq2−fpq )
. (14)
Asx± are to lie on the boundary ofD%, we have
for their Euclidean norms |x±| that |x±|2 = %2. By
p2+q2= 1, this implies 〈(p,q)T,η±〉=O(%) and
thusr±= r+O(%)andη±=η+O(%)with
r=ap3+(c+d)p2q+(b+f)pq2+eq3 , (15)
η= 





ï£
λ+ap4
+(c+d)p3q+(b+f)p2q2+epq3
−(λp+µq)p−ap2−bq2−cpq
µ+ap3q
+(c+d)p2q2+(b+f)pq3+eq4
−(λp+µq)q−dp2−eq2−fpq 





 . (16)
From(14) it isevident that the intersectionpointsx±
differ from the intersection points±%2(p,q)T of the
diameter δϕ ofD% in directionϕwith the boundary
ofD% justbyanoffset%2η+O(%3). Thecomponent
of thisoffsetperpendicular toδϕ is
〈%2η,(−q,p)T〉=%2(µp−λq−dp3
+(a−f)p2q+(c−e)pq2+bq3) . (17)
Up to higher order termsO(%3), the entire curveC
is approximated by a parabola over the diameter δϕ
with heighth(t) = %2(µp−λq)+ t2(−dp3+(a−
f)p2q+(c−e)pq2+bq3) for t∈ [t−,t+]. Thearea
on the right ofC (i.e., belowC) differs from that of thehalf-discbelowthediameterδϕby
∆(ϕ) = ∫ t+
t− h(t)+O(%3)dt
= 2%3(µp−λq)+ 43%3 (−dp3+(a−f)p2q
+(c−e)pq2+bq3)+O(%4) . (18)
Thehalf-spacedepthofµ isproportional to themin-
imumofpi%2/2+∆(ϕ) forϕ∈ [0,2pi].
The sought half-space median is therefore given
by those λ, µ for which the minimum of ∆(ϕ) is
largest. It can be proven that the minimum of ∆(ϕ)
differs only by higher-order terms w.r.t. % from that
of
∆˜(ϕ) = ( 3µ− 34d+ 14(c−e)
)
cosϕ
+ (−3λ+ 14(a−f)+ 34b)sinϕ
+ (−14d− 14(c−e))cos(3ϕ)
+ (
1
4(a−f)− 14b
)
sin(3Ï•) (19)
where we have inserted p = cosϕ, q = sinϕ,
and addition theorems. This function is the super-
position of a shifted2pi-periodic sine function (com-
bining the cosϕ, sinϕ contributions) and a shifted
2pi/3-periodicsinefunction(combiningthecos(3Ï•),
sin(3ϕ)contributions). Moreover, ∆˜ is an odd func-
tion, such that is maximum and minimum are of
equal magnitude and opposite sign. Since only the
2pi-periodic part of ∆˜ depends onλ,µ, it is easy to
see that the amplitude of ∆˜ is minimised (and thus
the minimum is maximised) if and only ifλ, µ are
chosen such that the 2pi-periodic contribution van-
ishes. Again, the neglection of higher order terms
in∆(ϕ)above entails only a higher-order error inλ,
µ. Therefore, the sought median is determined up to
higherorder termsby
λ= a12+ b
4− f12 , µ= d4+ e12− c12 (20)
fromwhich theclaimof the lemmafollowsbyvirtue
of a = uxx/2, b = uyy/2, c = uxy, d = vxx/2,
e=vyy/2,f=vxy.
Proof of Proposition 1. The transfer of the lemma
to the general geometric situation of the proposition
is analogous to [14, Sect. 3.1.2]. It relies on the ob-
servation that for any regular pointx ∈ Ω, trans-
forming the valuesu in its neighbourhood via the
affine transform uˆ= (Du(x))−1u leads to a trans-
formedfunction uˆwithDuˆ= diag(1,1)as required
by the lemma. Due to the affine equivariance of the
155
Joint Austrian Computer Vision and Robotics Workshop 2020
- Title
- Joint Austrian Computer Vision and Robotics Workshop 2020
- Editor
- Graz University of Technology
- Location
- Graz
- Date
- 2020
- Language
- English
- License
- CC BY 4.0
- ISBN
- 978-3-85125-752-6
- Size
- 21.0 x 29.7 cm
- Pages
- 188
- Categories
- Informatik
- Technik