VizUp Streamline Home and Student 4.5.1
"VizUp Streamline Home and Student" snapshot
VizUp is an ad hoc polygon optimization system that enables you to reduce the number of polygons in a complex 3D model while retaining the quality and appearance of the original. Supports Wavefront .OBJ, VRML2 and StereoLitho (STL) file formats.
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Product information
User rating
47% of users liked this software
Platform:
Windows 7/Vista/XP
Publisher:
Price:
$149
File size:
2.98 Mb
Date added:
April 14, 2012
Screenshot:
Product page:
Description from the Publisher
VizUp is an ad hoc polygon optimization and reduction system that enables you to reduce the number of polygons in a complex 3D model while retaining the quality and appearance of the original. The end result of the reduction is a 3D model with a well-balanced level of details and size, which is perfect for the use in virtual reality and real-time visualization systems. Supports Wavefront .OBJ, VRML 2.0/97 and StereoLitho (STL) file formats.
Users reviews & testimonials
You have the best 3D decimation out there by far for the price and I have tried high and low end software from all over the world. Jeff Williams
VizUp is a great polygon reducer and a terrific bargain. The single model mode, using a very clever and original interface, allows us to instantly see the effects of any compression level and choose the one that meets our need. Jeff Ostrander
I've tried out several commercial polygon reduction tools in the past, and this is easily as good or better than them. It's extremely simple to use and the polygon reduction is great. Very useful for simplifying models made with nurbs or metaballs. It reduced a high-poly vrml model from 617kb to 115kb with practically no difference in appearance. I had to check the wireframe view to be sure of what I was seeing lol. Stuart Williams
I found using VizUp very easy and very intuitive. Good visual feedback of how far you can push the polygon reduction, and a sophisticated algorithm combine to make polygon reduction a breeze. It will be even better when you can 'selectively' reduce different parts of your model. Highly recommended. James Holmes




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