SketchUp 7.1 for Architectural Visualization – Three Copies to Give Away!

Google SketchUp is one of our favorite packages for its shear innovation and ease of use, it arguably brought 3D modelling to the masses. As such tutorial style books are a great way to learn the intiqquses, tips and technnigquws to improve your workflow and get the best out of the software. SkeetchUp 7.1 for Architectural Visualisation by Robin de Jongh is published by PACKT Publishing and is a must buy for anyone
With this book in hand and patented technology such as the PhotoMatch, Push-Pull, and Face-me components you can produce commercial quality photo-realistic or artistic output of your designs.

This book shows you how to master SketchUp’s unique tools to create architectural visuals using professional rendering and image editing techniques in a clear and friendly way. You’ll be able to get started immediately using these SketchUp tools and open-source rendering software. The book shows you how to create architectural visuals from your SketchUp models. In no time you’ll be creating photo-realistic renders, animated fly-overs, and walkthroughs. You will also create composites of real and rendered images, creating digital and paper presentations to wow clients. For the impatient, a “Quickstart” tutorial is provided in the first chapter to get you rendering a photo-realistic scene immediately. The rest of the book builds on this knowledge by introducing in-depth concepts, tricks, and methods in an easy-to-follow format through quick tutorials.

Using easy step-by-step explanations, this book opens the door to the world of architectural visualization. With no prior visualization experience you will quickly get to grips with materials, texturing, composition, photo-compositing, lighting setup, rendering, and post-processing. You’ll also be able to take SketchUp’s unique sketchy output and add the artistic touch to create pencil and watercolor scenes. With this book you’ll be able to get started immediately using the free SketchUp download and open-source rendering software.

About the Author

Robin de Jongh

Robin de Jongh has worked as a computer-aided design professional on large and tiny construction projects for many years. He occasionally works as a freelance consulting engineer and has previously run a CAD and visualization company using SketchUp as the main design tool. Robin recently set up a SketchUp training firm through which he promotes SketchUp as the future of CAD in the Architecture, Engineering, and Construction (AEC) sector by providing training seminars and e-learning products.

Author Bio

Andy is Professor of Digital Urban Systems at the Centre for Advanced Spatial Analysis at University College London.

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The Immersive ‘HotDog’ Problem

Geosquan sent us a email last week for help from the readers of digital urban on his immersive ‘hotdog’ problem.

Geo describes an immersive hotdog as:

a georeferenced linear collection of immersive photographs which create a seamless immersive environment which can be entered in a Geospatial Exploration System such as Google Earth, Microsoft Virtual Earth, ESRI ArcGIS Explorer, or NASA’s WorldWind. The shape of these immersive collections roughly resembles a hotdog.

Moving from a series of panoramic images to a seamlessly stitched scene is the ultimate aim, we recommend reading Geosquans full post on his blog and then having a think about it…

Its an interesting concept.

Author Bio

Andy is Professor of Digital Urban Systems at the Centre for Advanced Spatial Analysis at University College London.

1 Comment

  1. Daniel - January 7, 2008

    I suppose I understand the reasoning in the approach, but I don’t understand why the concept of a ‘hotdog’ is relevent. In essence all he’s doing is alligning spheres along a determined path. If one simply draws a grid (think in context to space/time visualization), one is simply travelling a ball (eg: the capture-sphere) along a path. That path is recorded, and the only problem that remains is visualization — so that it visualizes seamlessly.

    It doesn’t look like a very complicated problem, except that it’s the geo-viewer’s problem — meaning, that GE would have to allow for fading from one sphere to another in order to accomodate a seamless visualization as the viewer enters into that region. The rest would be deemed constants in process to acheive the final data-set.

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