HIDDEN SOLID REMOVAL ALGORITHM IN COMPUTER GRAPHICS FOR IMAGE PROCESSING THEORETIC SEMINAR.pptx

Unveil the secrets of hidden solid removal in our dynamic PowerPoint presentation. Explore essential techniques for maximum discoverability, backed by real-world examples and insights into future trends. Master the art of uncovering hidden potentials in your projects.

1. HIDDEN SOLID REMOVAL ALGORITHM NSK. TVE23MEMA16 MEMA, College of Engineering Trivandrum

2. Hidden Solid Removal (HSR) Algorithms. Hidden solid removal (HSR) is a technique used in computer graphics to eliminate entire solid objects from a scene that are hidden from the viewer. In the realm of computer graphics, hidden solid removal (HSR) algorithms play a pivotal role in generating realistic and accurate images. These algorithms are tasked with identifying and eliminating solids in a 3D scene that are obscured from the viewer's perspective, ensuring that only the visible objects are rendered.

3. Need for HSR. Picture yourself in a room surrounded by furniture, decorations, and walls. You can only see the surfaces directly in your line of sight, while those hidden behind other objects remain unseen. HSR algorithms imitate this natural observation process in virtual environments. They ensure that only the surfaces essential for creating the displayed image are processed and shown, optimizing visual rendering.

4. Types of HSR Algorithms. HSR algorithms can be broadly classified into two categories: object-space algorithms and image-space algorithms. The choice of algorithm depends on the specific requirements of the application, considering factors such as scene complexity, desired rendering quality, and performance constraints.

5. Image Space Algorithms. Image-space algorithms perform visibility calculations on a pixel-by-pixel basis, analyzing the scene at each pixel in the image to determine which surfaces are visible from that particular viewpoint. These algorithms are typically faster and more efficient, making them well-suited for real-time rendering applications. However, they can be less accurate than object-space algorithms. These methods are originally designed for hidden surface removal but have been expanded to encompass 3D scenes, facilitating the removal of hidden solids.

6. Types of Image Space Algorithms. The various types of Image Space Algorithms are:

7. Z-buffer Algorithm. The Z-buffer algorithm is a widely used technique in computer graphics for hidden surface removal (HSR). It is an image-space algorithm, meaning it operates on a pixel-by-pixel basis to determine which surfaces are visible from the viewer's perspective. The algorithm maintains a Z-buffer, an array of values that stores the depth of each pixel in the image. As surfaces are rendered, their depth is compared to the corresponding pixel in the Z-buffer. If the surface is closer, it is rendered over the pixel; otherwise, the pixel remains unchanged.

8. Working Principle of Z Buffer Algorithm. Initialization: The Z-buffer is initialized with the maximum depth value, representing the farthest point from the viewer. Surface Rendering: For each surface in the scene, its depth is calculated at each pixel that the surface intersects. Z-buffer Comparison: The calculated depth of the surface is compared to the corresponding depth value in the Z-buffer.

9. Depth Update: If the surface's depth is closer than the value in the Z-buffer, the Z-buffer value is updated with the surface's depth, and the corresponding pixel's color is set to the surface's color. Surface Completion: Once all surfaces have been rendered, the image is complete, and only the visible surfaces are displayed.

10. Painters Algorithm. The painter's algorithm is a fundamental technique in computer graphics for hidden surface removal (HSR). .The algorithm draws surfaces in the order of their increasing distance from the viewer, ensuring that only the front-most surfaces are visible. This analogy resembles a painter's approach, where they start by painting distant objects and gradually move towards closer ones, effectively covering the areas that represent hidden surfaces.

11. Working Principle of Painters Algorithm. Surface Sorting: The algorithm starts by sorting all surfaces in the scene based on their depth or distance from the viewer. Surface Rendering: Once the surfaces are sorted, they are rendered sequentially from back to front. This ensures that only the front-most surfaces are visible, as they are rendered over any surfaces behind them.

12. Overlapping Surfaces: For overlapping surfaces, the painter's algorithm handles occlusions by only rendering the visible portions of the overlapping surfaces. This is achieved by comparing the depth of each surface at each pixel to determine which surface is closer and should be rendered.

13. Scan Line Algorithm. The scan line algorithm is an image-space algorithm used for hidden surface removal (HSR) in computer graphics. It operates by processing the image one scan line at a time, determining the visible surfaces for each pixel along that scan line. The algorithm efficiently determines the visible surfaces by maintaining an active edge table (AET) that stores the edges of the surfaces that intersect the current scan line.

14. Working Principle of Scan Line Algorithm. Scan Line Initialization: For each scan line, the AET is initialized with the edges of all surfaces that intersect the scan line. Edge Sorting: The edges in the AET are sorted based on their x-coordinates at the current scan line. This ensures that edges are processed in the correct order from left to right. Edge Processing: For each edge in the AET, determine the visible portion of the surface represented by that edge along the current scan line. This involves calculating the intersection points of the edge with other edges and the scan line endpoints.

15. AET Updates: As edges are processed, they may be added to or removed from the AET based on their intersections and the current scan line position. Pixel Rendering: For each pixel along the current scan line, determine the visible surface based on the AET and fill the pixel with the corresponding surface color. Scan Line Iteration: Repeat steps 1-5 for each scan line until the entire image has been processed.

16. Object Space Algorithms. Object-space algorithms operate on an object-by-object basis, analyzing each object in the scene to determine which of its surfaces are visible from the viewpoint. These algorithms are typically more accurate and produce higher-quality results, but they can be slower and more computationally expensive due to the preprocessing of the scene.

17. Types of Object Space Algorithms. The various types of Object Space Algorithms are:

18. Depth Sorting Algorithm. The depth-sorting algorithm is a simple and efficient hidden surface removal (HSR) technique that operates on an object-space basis. It sorts all surfaces in the scene from back to front based on their distance from the viewer and renders them sequentially, ensuring that only the front-most surfaces are visible. It is similar to Painters Algorithm.

19. Working Principle of Depth Sorting Algorithm. Surface Sorting: The algorithm begins by sorting all surfaces in the scene based on their depth or distance from the viewer. This sorting can be done using various techniques, such as bubble sort, quick sort, or specialized depth-sorting algorithms. Surface Rendering: Once the surfaces are sorted, they are rendered sequentially from back to front. This ensures that only the front-most surfaces are visible, as they are rendered over any surfaces behind them.

20. Overlapping Surfaces: For overlapping surfaces, the depth-sorting algorithm handles occlusions by only rendering the visible portions of the overlapping surfaces. This is achieved by comparing the depth of each surface at each pixel to determine which surface is closer and should be rendered.

21. BSP Tree Algorithm. The BSP tree algorithm is an efficient hidden solid removal (HSR) technique that operates on an object-space basis. It utilizes a Binary Space Partitioning (BSP) tree to divide the scene into a hierarchy of bounding volumes (BVHs). This hierarchical structure allows for rapid determination of visible surfaces, making it well-suited for handling complex scenes with numerous objects.

22. Working Principle of Depth Sorting Algorithm. Scene Partitioning: The algorithm recursively divides the scene into a BSP tree by selecting a splitting plane and partitioning the objects based on their relationship to the plane. BVH Creation: Each node in the BSP tree represents a BVH, which encapsulates a portion of the scene. The BVH stores information about the enclosed objects, such as their bounding box or center of mass. Surface Visibility Determination: To determine the visibility of a surface, the algorithm traverses the BSP tree, starting at the root node. For each node, it checks whether the surface intersects the corresponding BVH. If it does, the algorithm recursively traverses the child nodes until reaching a leaf node.

23. Leaf Node Processing: At a leaf node, the algorithm checks whether the surface is inside or outside the BVH. If inside, the surface is marked as visible. If outside, the surface is marked as hidden.

24. Octree Algorithm. The octree algorithm is an efficient object-space hidden surface removal (HSR) technique that utilizes a hierarchical data structure called an octree to partition the scene into a set of octants. Octants are cubes that are recursively subdivided into eight smaller cubes. This hierarchical structure allows for rapid determination of visible surfaces, making it well-suited for handling complex scenes with numerous objects.

25. Working Principle of Depth Sorting Algorithm. Scene Partitioning: The algorithm recursively divides the scene into an octree by selecting a splitting plane and partitioning the objects based on their relationship to the plane. Octant Creation: Each node in the octree represents an octant, which encapsulates a portion of the scene. The octant stores information about the enclosed objects, such as their bounding box or center of mass. Surface Visibility Determination: To determine the visibility of a surface, the algorithm traverses the octree, starting at the root node. For each node, it checks whether the surface intersects the corresponding octant. If it does, the algorithm recursively traverses the child nodes until reaching a leaf node.

26. Leaf Node Processing: At a leaf node, the algorithm checks whether the surface is inside or outside the octant. If inside, the surface is marked as visible. If outside, the surface is marked as hidden.

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