Building a 3D Game in Multiple Environments
There are many popular graphical modeling tools for game design. From among these tools, Blender and 3D Studio Max were chosen as representatives of free and commercial tools, respectively. Both are widely used by digital animation companies as well as game developers. The advantages and disadvantages of the two programs were explored in a case study by using both tools to build a 3D chess game. The chess pieces were built in both Blender and 3D Studio Max. By building each piece in both programs a comparison of the advantages and disadvantages of the software tools was possible. In this article, the pros and cons of each product, as determined by the case study, are presented.
||Game Design, Blender, 3D Studio, Comparison, Game
The International Journal of Visual Design, Volume 6, Issue 4, pp.45-54.
Article: Print (Spiral Bound).
Article: Electronic (PDF File; 614.724KB).
Student, Computer Science Department, Drexel University, Collegeville, PA, USA
Sam Snodgrass is in his second year of the doctoral program in computer science at Drexel University in Philadelphia, PA. He received his Bachelor of Science degree in computer science from Ursinus College in Collegeville, PA. Sam is currently researching procedural content generation (PCG), specifically map generation for games.
Associate Professor of Computer Science, Department of Computer Science, Ursinus College, Collegeville, PA, USA
April Kontostathis currently holds an associate professor position at Ursinus College in Collegeville, PA. She obtained her Ph.D. in computer science from Lehigh University. Her doctoral dissertation, A Term Cooccurrence-based Framework for Understanding LSI: Theory and Practice, developed a theoretical model for understanding Latent Semantic Indexing (LSI), a retrieval system that is based on the values produced by taking a Partial Singular Value Decomposition (PSVD) of the term-by-document matrix. She has written numerous articles that describe methods for determining the most critical values in the reduced dimensionality matrix and improving the efficiency and effectiveness of LSI. While her primary research interest is in the theory and practice of information retrieval and textual data mining, she also has an investment in undergraduate research and has co-authored several articles with her students at Ursinus College.