Computer Graphics Implementation II

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Presentation transcript:

Computer Graphics Implementation II Dr. Frederick C Harris, Jr.

Objectives Introduce clipping algorithms for polygons Survey hidden-surface algorithms

Polygon Clipping Not as simple as line segment clipping Clipping a line segment yields at most one line segment Clipping a polygon can yield multiple polygons However, clipping a convex polygon can yield at most one other polygon

Tessellation and Convexity One strategy is to replace nonconvex (concave) polygons with a set of triangular polygons (a tessellation) Also makes fill easier Tessellation code in GLU library

Clipping as a Black Box Can consider line segment clipping as a process that takes in two vertices and produces either no vertices or the vertices of a clipped line segment

Pipeline Clipping of Line Segments Clipping against each side of window is independent of other sides Can use four independent clippers in a pipeline

Pipeline Clipping of Polygons Three dimensions: add front and back clippers Strategy used in SGI Geometry Engine Small increase in latency

Bounding Boxes Rather than doing clipping on a complex polygon, we can use an axis-aligned bounding box or extent Smallest rectangle aligned with axes that encloses the polygon Simple to compute: max and min of x and y

Bounding boxes Can usually determine accept/reject based only on bounding box reject accept requires detailed clipping

Clipping and Visibility Clipping has much in common with hidden-surface removal In both cases, we are trying to remove objects that are not visible to the camera Often we can use visibility or occlusion testing early in the process to eliminate as many polygons as possible before going through the entire pipeline

Hidden Surface Removal Object-space approach: use pairwise testing between polygons (objects) Worst case complexity O(n2) for n polygons partially obscuring can draw independently

Painter’s Algorithm Render polygons a back to front order so that polygons behind others are simply painted over B behind A as seen by viewer Fill B then A

Depth Sort Requires ordering of polygons first O(n log n) calculation for ordering Not every polygon is either in front or behind all other polygons Order polygons and deal with easy cases first, harder later Polygons sorted by distance from COP

Easy Cases A lies behind all other polygons Can render Polygons overlap in z but not in either x or y Can render independently

Hard Cases cyclic overlap Overlap in all directions but can one is fully on one side of the other penetration

Back-Face Removal (Culling) face is visible iff 90    -90 equivalently cos   0 or v • n  0 plane of face has form ax + by +cz +d =0 but after normalization n = ( 0 0 1 0)T need only test the sign of c In OpenGL we can simply enable culling but may not work correctly if we have nonconvex objects

Image Space Approach Look at each projector (nm for an n x m frame buffer) and find closest of k polygons Complexity O(nmk) Ray tracing z-buffer

z-Buffer Algorithm Use a buffer called the z or depth buffer to store the depth of the closest object at each pixel found so far As we render each polygon, compare the depth of each pixel to depth in z buffer If less, place shade of pixel in color buffer and update z buffer

Efficiency If we work scan line by scan line as we move across a scan line, the depth changes satisfy ax+by+cz=0 Along scan line y = 0 z = - x In screen space x = 1

Scan-Line Algorithm Can combine shading and hsr through scan line algorithm scan line i: no need for depth information, can only be in no or one polygon scan line j: need depth information only when in more than one polygon

Implementation Need a data structure to store Flag for each polygon (inside/outside) Incremental structure for scan lines that stores which edges are encountered Parameters for planes

Visibility Testing In many realtime applications, such as games, we want to eliminate as many objects as possible within the application Reduce burden on pipeline Reduce traffic on bus Partition space with Binary Spatial Partition (BSP) Tree

Simple Example consider 6 parallel polygons top view The plane of A separates B and C from D, E and F

BSP Tree Can continue recursively Plane of C separates B from A Plane of D separates E and F Can put this information in a BSP tree Use for visibility and occlusion testing