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Horizon Occlusion
      Flow Studio




                      최유표
                    2009.07.03
Definition
   1 Map = 4 * 4 Quad Leaf
   1 Quad Leaf = 4 * 4 Occluder
   1 Quad Leaf = 32 * 32 Cell
   1 Cell = 2m
   1 Occluder = 8 Cell = 16m
Horizon Occlusion
   Occluder
    AABB Bottom Plane * Horizon View Projection Matrix
   Occludee
    AABB Top Plane * Horizon View Projection Matrix

   If (Occludee < Occluder)
       then Culling
Problem
   2개의 점만을 사용
   빈 공간이 많이 생길 수 있음
   노드의 크기가 클수록 더 많은 공간이 비게 됨
   Occluder나 Occludee의 크기가 작아짐
   따라서 최적화의 여지가 많이 줄어들 수 있음
Solution
   모양 세분화
       사각형 : 1개의 선
       마름모 : 2개의 선
       사다리꼴 : 3개의 선
       평행사변형 : 2개의 선
       For (Left Edge ~ Right Edge)
         Add Point
Solution



 사각형




 마름모
Solution



평행사변형




 사다리꼴
Solution




Before              After
Optimize
   단계 세분화
       거리에 따른 세분화
           If (거리 < Threshold) then Split
       높이의 비율에 따른 세분화
           If (Threshold < 높이/거리) then Split
       화면의 비율에 따른 세분화
           If (Threshold < Pixel Ratio) then Split
Optimize




           가까운 거리

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D2 Horizon Occlusion

  • 1. Horizon Occlusion Flow Studio 최유표 2009.07.03
  • 2. Definition  1 Map = 4 * 4 Quad Leaf  1 Quad Leaf = 4 * 4 Occluder  1 Quad Leaf = 32 * 32 Cell  1 Cell = 2m  1 Occluder = 8 Cell = 16m
  • 3. Horizon Occlusion  Occluder AABB Bottom Plane * Horizon View Projection Matrix  Occludee AABB Top Plane * Horizon View Projection Matrix  If (Occludee < Occluder) then Culling
  • 4. Problem  2개의 점만을 사용  빈 공간이 많이 생길 수 있음  노드의 크기가 클수록 더 많은 공간이 비게 됨  Occluder나 Occludee의 크기가 작아짐  따라서 최적화의 여지가 많이 줄어들 수 있음
  • 5. Solution  모양 세분화  사각형 : 1개의 선  마름모 : 2개의 선  사다리꼴 : 3개의 선  평행사변형 : 2개의 선  For (Left Edge ~ Right Edge) Add Point
  • 9. Optimize  단계 세분화  거리에 따른 세분화  If (거리 < Threshold) then Split  높이의 비율에 따른 세분화  If (Threshold < 높이/거리) then Split  화면의 비율에 따른 세분화  If (Threshold < Pixel Ratio) then Split
  • 10. Optimize 가까운 거리