3D Modeling and Texturing Walkthrough

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The document provides an overview of the modeling and texturing process for a 3D model. It discusses using references to help with scale, dimensions, and later textures. For modeling, the objective was low poly count with multiple approaches. Texture creation involved unwrapping the 3D model and flattening it onto a 2D plane with overlapping to keep the texture size small. The final steps were attaching models to one mesh, applying the final texture, and exporting to a game engine for rendering with a total poly count of 2400.

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Modeling and Texturing Walkthrough By: Martin Reimer http://www.linkedin.com/pub/martin-reimer/1/29b/950

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3D modeling has revolutionized the design, manufacturing, research & development, and the advertising industries. With 3D modeling, it is now possible to visualize an outcome even before it is given a practical, real shape. 3D modeling allows inventors and designers to evaluate their concepts and to identify potential flaws that may lead to project failure at a later stage. These slides provide details about the various types of 3D modeling techniques and their specific uses and applications.

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Laureate Online Education Internet and Multimedia Technology © All right reserved, 2000-2008. The Internet and Multimedia Technology module, in all its parts: syllabus, guidelines, lectures, discussion questions, technical notes, images, labs, projects and any additional material is copyrighted by Laureate Online Education B.V. Module: MSC MD (INTMMT) Seminar 3 Bitmaps and Colour Introduction We will turn our attention to Bitmaps and Colour during this Seminar. As we did in Seminar 2, we will again recommend some applications and encourage you to experiment. Bitmapped images have none of the complexity of 3D graphics and yet they are the final output from a 3D system. Often the 2D image desired will first be created in 3D and then, after the perspective transformation is applied and it becomes 2D, modified and enhanced. Let us take a look at some ideas associated with Bitmaps. We start with the resolution or measure of the granularity of the image. It is a common error to assume that an image having 640 by 480 pixels on the screen cover s only that number of phosphor dot triads on the face of the monitor. A screen may state it provides so many dots per inch as its resolution. This is a measure of the manufacturing quality. Depending on the size of the screen we will have a different number of dots per pixel for a given computer resolution. It is also rather short sighted to keep an image at a small resolution since it will look very ‘blocky’ if enlarged or viewed at a greater resolution than originally stored. This gives rise to large files being kept just in case we need the resolution! One obvious way around this is to compress the image. Compression schemes are considered to be of two types; Lossy and Lossless. With lossless compression we can always regain the original quality whereas with lossy compression we sacrifice some aspect of quality depending on the application. When dealing with multimedia and the Internet we are very concerned to obtain the best compression ration for a given quality of service (QoS). The compression ratio is given by; Compression Ratio = Uncompressed file size Compressed file size Most compression schemes rely on taking advantage of redundancy in the data (in our case, the stream of pixels which make up the image). This takes many forms. If we examine one scan line of an image we will notice that many pixels 1 are the same colour so stating for example Red 100 times is wasteful. It is obviously shorter to store the value for red and its length. This is the basic idea behind Run Length Encoding (RLE). A simple compression related to colour is to appreciate that we do not need the full range twenty four bits can provide. If we sample the image for the 256 commonest shades then we can reduce the storage for colour by two thirds by sacrificing fine shading differences. A further approach is useful with video and makes use of the ...

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