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Computational Geometry Piyush Kumar (Lecture 3: Convexity and Convex hulls) Welcome to CIS5930

Computational Geometry

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Computational Geometry. Piyush Kumar (Lecture 3: Convexity and Convex hulls). Welcome to CIS5930. p. q. p. convex. non-convex. q. Convexity. A set S is convex if for any pair of points p,q  S we have pq  S. Convex Hulls : Equivalent definitions. - PowerPoint PPT Presentation

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Page 1: Computational Geometry

Computational Geometry

Piyush Kumar(Lecture 3: Convexity and Convex hulls)

Welcome to CIS5930

Page 2: Computational Geometry

Convexity

A set S is convex if for any pair of points p,q S we have pq S.

p

q

non-convex

q

p

convex

Page 3: Computational Geometry

Convex Hulls : Equivalent definitions

The intersection of all covex sets that contains P The intersection of all halfspaces that contains P. The union of all triangles determined by points in P. All convex combinations of points in P.

P here is a set of input points

Page 4: Computational Geometry

Convex Hulls

Applications Collision Detection Fitting shapes Shape Approximation NN-Searching Useful as a preprocessing step to many

other algorithms in computational geometry. The most ubiquitous structure in computational

geometry.

Page 5: Computational Geometry

Convex hulls

p0

p1p2

p4

p5

p6

p7

p8

p9

p11

p12

Extreme pointInt angle < pi

Extreme edgeSupports the point set

Page 6: Computational Geometry

Convex hull : Representation

We will represent the convex hull by an enumeration of the vertices of the CH(P) in counterclockwise order. Naïve Algorithm to compute convex hulls can be implemented in O(n3) in the plane (How?) Anyone with an O(n2) algorithm?

Page 7: Computational Geometry

Convex hull

has a lower bound equivalent to sorting has many similar algorithms to sorting. We will see today Graham Scan Incremental (one point at a time) D&C Qhull ( similar to Quick Sort) Jarvis March Chan’s Algorithm

Page 8: Computational Geometry

Assignments for next week

Notes of Dr. Mount: Upto Page 20D&C notesAssignment2.cpp and ch_2.cpp Will talk more about it towards the

end of class.

Page 9: Computational Geometry

Today (Jan 24th)

Chan’s Algorithm Line Segment intersection Homeworks / Projects

Page 10: Computational Geometry

Line Segment Intersection

Applications VLSI (Intel uses it a lot) Map Overlay Clipping in Graphics CSG

Problem : Given a set of line segments in the plane, compute all the intersection point.

Page 11: Computational Geometry

Line Segment Intersection

Lower Bound from EUEU : Given a list of n numbers, are all these numbers unique? [Y / N]? Lower bound is Ω(nlogn) How do we use this fact to prove a Ω(nlogn)

on Line segment intersection problem? Does this imply a lower bound of Ω(nlogn+k)?

Tell me a naïve algorithm to solve this problem.

Page 12: Computational Geometry

Line Segment intersection

Naïve O(n^2) Bentley Ottman O((n+k)log n)Edelsbrunner Chazeele 92 O(nlogn +k) : Supercomplicated O(nlogn) space

Clarkson and Shor O(nlogn +k) Randmized O(n) space

Balaban : Deterministic O(nlogn + k) in O(n space. Solved a long open problem.

Page 13: Computational Geometry

Segment Intersection

How do we intersect two segments? How do we implement such a primitive? CG FAQ 1.3 Any special cases?

Page 14: Computational Geometry

Today ( Jan 26th)

Line Segment intersection Algorithm Project discussion Polygons

Page 15: Computational Geometry

Line Segment intersection

Sweep line paradigm Main idea is to sweep the entire

plane with a line and compute what we want to , as we sweep past the input.

Event scheduling and updates Carefully schedule the computation

so that it does not take too much time to compute the output.

Page 16: Computational Geometry

Line Segment Intersection

A Sorted sequence data structure Insert Delete Successor/Predecessor All in O(log n)

X-structure (or the event queue) Y-structure (or the sweep line)

Page 17: Computational Geometry

Plane Sweep ParadigmInitialization: Add all segment endpoints to the X-structure or event queue

(O(n log n)). Sweep line status is empty.

Algorithm proceeds by inserting and deleting discrete events from the queue until it is empty.

Page 18: Computational Geometry

Useful lemma

Given s1,s2 intersecting in p, there is a placement of the sweepline prior to this event such that s1,s2 are adjacent along the sweepline. Just before an intersection occurs, the two relevant segments are adjacent to each other in the sweep line status.

Page 19: Computational Geometry

Plane Sweep

Event A: Segment left endpoint Insert segment in sweep line or

the Y-structure. Test for intersection to the right of

the sweep line with the segments immediately above and below it. Insert intersection points (if found) into X-structure or event queue.

Complexity: ? Worst case?

Page 20: Computational Geometry

Plane Sweep – Algorithm

Event B: Segment right endpoint Delete segment from

sweep line status. Test for intersection to

the right of the sweep line between the segments immediately above and below. (can you do any optimization for this case? ) Insert point (if found) into event queue.

Complexity: ?

Page 21: Computational Geometry

Plane Sweep – AlgorithmEvent C: Intersection point Report the point. Swap the two line relevant

segments in the sweep line status.

For the new upper segment – test it against its predecessor for an intersection. Insert point (if found) into event queue.

Similar for new lower segment (with successor).

Complexity: O(klogn)

Page 22: Computational Geometry

The Simplified Algorithm

Construct the X-structure scan thru the X-structure (or the event queue) from left to right processing: Segment Left endpoint Segment right endpoint Intersection points

Page 23: Computational Geometry

Polygons

Definition of a simple polygon Point containment in simple polygon Area of a simple polygon Triangulation of a simple polygon Convex hull of a simple polygon Fast preprocessing of a convex polygon to do in/out queries.