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clidean topology and f will describe a continuous
image or3D-scan.
Definition2.1. Apath isacontinuousfunctionfrom
the real interval [a,b] (witha<b) into a topological
spaceΩ.
Definition 2.2. Two points x 6= y in a topological
spaceΩarecalledpath-connected ifandonlyif there
exists a path γ : [a,b]→ Ω with γ(a) = x and
γ(b) =y.
Definition 2.3. The set of all points which are path-
connected to a pointx∈Ω is the connected compo-
nentofx:
[x] :={y∈Ω|x ispath-connected toy}
Any subset of Ω which can be written in above way
(forasuitablechoiceofx) iscalledaconnectedcom-
ponent.
Definition2.4. Apathγ : [a,b]→Ω iscalledmono-
tonic if andonly if thewholepath isascendingor the
wholepathisdescending,meaningthefirstorsecond
formula belowhas tohold, respectively:
∀s,t∈ [a,b] :s<t⇒f(γ(s))≤f(γ(t))
∀s,t∈ [a,b] :s<t⇒f(γ(s))≥f(γ(t))
Definition 2.5. LetR ⊂ Ω. R is called slope re-
gionormonotonicallyconnected if andonly if forall
x,y∈R there exists a monotonic pathγ : [a,b]→
Rwithγ(a) =xandγ(b) =y.
Definition 2.6. A family of sets{Ai⊂Ω | i∈ I} is
called a sloperegiondecomposition if andonly if:
• Ai is a slope region for all i∈ I
• ∀i,j∈ I : i 6= j⇒Ai∩Aj=∅.
• ⋃i∈IAi= Ω
Definition 2.7. Consider two slope region de-
compositions A = {Ai⊂Ω | i∈ I} and B =
{Bj⊂Ω | j∈J}. We callA coarser thanB, al-
ternativelyBfiner thanA, in SymbolsA B if and
only if
∀j∈J ∃i∈ I :Bj⊂Ai.
Theorem2.8. isapartialorder, i.e. fulfills reflex-
ivity, antisymmetryand transitivity.
Proof: Straight forward. Antisymmetry follows
fromthedecompositionproperty. Definition 2.9. A slope region decompositionA is
calledmaximallycoarseorsimplycoarse ifandonly
if there is no other coarser slope region decomposi-
tion.
We can apply Zorn’s lemma [6] to the partial or-
der , which yields the existence of maximal ele-
ments. For this we need to show that chains have
upperbounds.
Theorem2.10. Foranyascendingchainof slopere-
gion decompositions (Ai)i∈I, that is t≥ s⇒At
As, there is a slope region decompositionA∞ satis-
fying∀i∈ I :A∞ Ai.
Proof: Weconsider theequivalencerelation”con-
nected inAi” for twopointsx,y∈Ω:
x∼i y :⇔∃A∈Ai :x∈A∧y∈A
Theequivalence relation is a subsetofΩ2, andAt
As implies∼t⊃∼s. This suggests the use
of∼∞:=⋃
i∈I ∼i to get an upper bound. Indeed the equiv-
alence classes of∼∞ yield a partitionA∞ of Ω,
which is coarser than anyAi. But do they form a
slope region decomposition? Yes: For any two fixed
pointsx,y to be∼∞-connected, they need to be∼i-
connected for some i ∈ I. So there is a mono-
tonic path linkingx and y inA= [x]∼i ⊂ [x]∼∞,
by which they are monotonically connected inA∞.
ThereforA∞ is a slope regiondecomposition.
HenceeverysetΩhasacoarsedecomposition.
Theorem 2.11. LetA⊂Ω be a path-connected set.
A is a slope region if and only if all levelsets off in
Aarepath-connected, i.e.
∀c∈R :f−1({c})∩A ispath-connected.
Proof: ”⇒”viacontraposition:
Supposethereexistsac∈RwithL :=f−1(c)∩A
not path-connected. We decomposeL in its compo-
nents and pick x and y from different components.
Since f(x) = f(y) = c a monotonic path between
xandywouldhave to lie completely inL.However,
since x and y are from different components, they
cannotbeconnectedbyapathinLandthereforecan-
not be connected with a monotonic path. Therefore,
A isnot a slope region.
”⇐”via ironingout anarbitrarypath:
Givenx,y∈Awe have to find a monotonic path
γ. Without loss of generality supposef(x)≥ f(y).
SinceA is path-connected, there exists an (not nec-
essarily monotonic) path γ0 : [a,b]→A fromx to
138
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
- Kategorien
- Informatik
- Technik