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Joint Austrian Computer Vision and Robotics Workshop 2020
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Seite - 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(ϕ) 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=        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(3ϕ) (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(3ϕ), 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
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Joint Austrian Computer Vision and Robotics Workshop 2020
Titel
Joint Austrian Computer Vision and Robotics Workshop 2020
Herausgeber
Graz University of Technology
Ort
Graz
Datum
2020
Sprache
englisch
Lizenz
CC BY 4.0
ISBN
978-3-85125-752-6
Abmessungen
21.0 x 29.7 cm
Seiten
188
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Joint Austrian Computer Vision and Robotics Workshop 2020