A Fast Walkthrough System based on Distributed Visibility CullingTechniquestclu@mail.ncyu.edu.twhttp://web.ncyu.edu.tw/~tclu

OutlineIntroductionClassification of Occlusion CullingInstant VisibilityCell Arrangement PolicyDistributed Rendering EnvironmentExperimental ResultsConclusionsFuture WorksSystem Demo

Introduction (1/11)Walkthrough of large-scale modelsSimulators, games, CAD/CAM, urban planningAnimation 1 (Level of Detail)Animation 2 (Collision Detection)Animation 3 (Physics)Millions of polygonsNot real-time with current graphics hardwareTo reduce the loads for the graphics hardwareSolution Visibility Culling

Introduction (2/11)Like most other rendering acceleration techniques, the goal is to avoid rendering redundant geometryThe basic idea: dont render what cant be seenOff-screen: view-frustum cullingInvisible parts: back-face cullingOccluded by other objects: occlusion culling

Introduction (3/11)Visibility culling algorithmView-frustum cullingBack-face cullingOcclusion culling

visibleView Frustum

Introduction (4/11)View-frustum cullingAn old idea (Clark 76):Organize primitives into clumpsBefore rendering the primitives in a clump, test a bounding volume against the view frustumIf the clump is entirely outside the view frustum, dont render any of the primitivesIf the clump intersects the view frustum, add to PVS and render normallyOrganize clumps into a hierarchy of bounding volumes for more efficient testingIf a clump is entirely outside or entirely inside view frustum, no need to test its children

Introduction (5/11)Example of Hierarchical View Frustum Culling

cameraroot

Introduction (6/11)Back-face cullingCompute normal of polygon in 2D screen space.Normal will be cross product of two vectors that share an originUse vertices for simplicity:

Introduction (7/11)Back-face cullingSimple technique to discard polygons that faces away from the viewerFirst, must have consistently oriented polygons, e.g., counterclockwise

02front facing012back facing1

Introduction (8/11)Back-face cullingCreate vector from eye point to each polygonCompute dot product of vector and normal at a vertex.If dot product is negative, angle between vectors is greater than 90 degreesscreen space102front012backfrontbackeyeeye space

Introduction (9/11)Occlusion cullingMain idea: Objects that lies completely behind another set of objects can be culledProcess from front to back

Use some kind of occlusionrepresentation ORfor each object g do: if( not Occluded(OR ,g)) render(g); update(OR ,g); end;end;

Introduction (10/11)Occlusion cullingOccluders versus occludees:Blue parts: occluders Red parts: occludees

Introduction (11/11)Occlusion cullingDepth versus overlap: Depth + Overlap = Occlusion

Classification of Occlusion Culling (1/4)Online point-based vs. Preprocessing region-based [Greene 93, Coorg 96, Zhang 97, Luebke 95, etc.][Teller 91, Airey 91, Cohen-Or 98, etc.]View PointView Cell

Classification of Occlusion Culling (2/4)Online point-based algorithmThey have to be executed for each frameRenderer cannot proceed until a PVS is availablePreprocessing region-based algorithmPVS is calculated at preprocessing stageLarge memory consumptionLong precalculation time

Classification of Occlusion Culling (3/4) Occluders vs. Portals [Greene 93, Coorg 96, Zhang 97, Cohen-Or 98, etc.][Teller 91, Airey 91, Luebke 95, etc.]portaloccludervisiblehidden

Classification of Occlusion Culling (4/4) Object space vs. Image space [Teller 91, Airey 91, Coorg 96, Hudson 97, Cohen-Or 98, etc.][Greene 93, Zhang 97, etc.]

Binary Space Partitioning Tree (1/2)Partition space by dividing into two parts at each levelA terminal node represents a region that is not further subdivided

Binary Space Partitioning Tree (2/2) Subdivide a scene into numerous spatial cells

What is our demand ?

Our demandShort preprocessing timeCalculate PVS at the run-time stageHigh-speed frame rateReduce the number of rendering polygonsDecrease the calculating time of PVS

Provide a high-quality scene with high-speed frame rate

Our solution (1/4)Short preprocessing timeOnly find the occluders set of each cellHigh-speed frame rateReduce the number of rendering polygonsDecrease the calculating time of PVS

Provide a high-quality scene with high-speed frame rate

Our solution (2/4)Short preprocessing timeOnly find the occluders set of each cellHigh-speed frame ratePerform run-time occlusion cullingDecrease the calculating time of PVS

Provide a high-quality scene with high-speed frame rate

Our solution (3/4)Short preprocessing timeOnly find the occluders set of each cellHigh-speed frame ratePerform occlusion cullingCalculate visibility in parallel to the traditional rendering pipeline (Instant Visibility)Provide a high-quality scene with high-speed frame rate

Our solution (4/4)Instant Visibility

Instant Visibility (1/7)The traditional rendering pipeline

Instant Visibility (2/7)The new visibility pipeline

Instant Visibility (3/7)Adjust view frustum

Instant Visibility (4/7)t = 2 tvis tframe

= t vmax Where vmax is the max. velocity

= t Where is the max, rotation speed

Instant Visibility (5/7)The umbra difference of - Neighborhood

Instant Visibility (6/7)Occluder Shrinking

Instant Visibility (7/7)Calculating resourceDrawing resourceView Position InfoPVS Info

A cluster of the proposed architectureDrawing resourceCalculating resources

Our approachOnline point-basedPreprocessing region-based/ Image spaceObject space/ PortalsOccluders/PVS

System Architecture

Cell Arrangement Policy (1/5)The definition of machine type(Ti, i, i)

Ti : machine typei : throughput i : the amount

Cell Arrangement Policy (2/5)The definition of task class(Ci, wi, li, i)

Ci : task classwi : service demand li : code lengthi : arrival rate

Cell Arrangement Policy (3/5)The definition of workload of a machine Pi

Ki : the set of tasks residing in Pi

Cell Arrangement Policy (4/5)tvis = tcal + 2 tcomm tvis : the time which DM obtains PVStcal : the time which CM calculates PVStcomm : one-way communication time between CM and DMIf the network is strongly connected tvis tcal

Cell Arrangement Policy (5/5)The weight Wk of a machine Pk

The same machine will not be assigned adjacent cells

The arrangement algorithm

Distributed Rendering EnvironmentTwo executing stagePreprocessing stageOn-the-fly stage

Preprocessing StagePerform spatial subdivisionBSP tree (binary space partitioning tree )Establish an adjacency treeCompute the complexity weight of each cellThe weight is the number of polygons of the cellDetermine the occluders set of each cellDetermined it according to projection area of each occluder

On-the-fly Stage (1/5)Add a new CMIncrease a computing resourceMA arranges cells again

On-the-fly Stage (2/5)Add a new DMJoin a displaying client

On-the-fly Stage (3/5)Calculating and renderingA major operation

On-the-fly Stage (4/5)Remove an existing or crashed CMDecrease a computing resourceMA arranges cells again

On-the-fly Stage (5/5)Remove an existing DM Cancel a displaying client

Calculating and RenderingCalculating step of CMstep1: adjust the view frustumstep2: perform view-frustum cullingstep3: perform occlusion culling

The calculating algorithm

Experimental ResultsPreprocessing timeView-Frustum Culling vs. Run-time Occlusion CullingDistributed Visibility Culling TechniqueCell Arrangement Policy

Preprocessing time (1/2)The preprocessing time with different calculating machines

Number of objectsNumber of CM12345100445.881232.349154.208115.35894.758200526.137275.350182.749137.502111.362300604.296315.985211.421157.863126.311400693.606357.563238.339178.753144.300500768.942395.431263.658197.115159.496

Preprocessing time (2/2)

Chart3

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No. of object = 100

No. of object = 200

No. of object = 300

No. of object = 400

No. of object = 500

Perfect line

No. of CM

speedup

Sheet1

100200300400500No. of object = 100No. of object = 200No. of object = 300No. of object = 400No. of object = 500Perfect line

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4.70547077824.72456493244.78419140064.80669438674.82107388275

No. of object = 100

No. of object = 200

No. of object = 300

No. of object = 400

No. of object = 500

Perfect line

No. of CM

speedup

Sheet2

Sheet3

View-Frustum Culling vs. Run-time Occlusion Culling

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75149.43981392.564815149.564816165.639279865.13928622.6392853

7