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Fundamentals of Computer Graphics

2009

Abstract
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This chapter explores the fundamentals of measure theory and probability theory as they apply to computer graphics. By outlining the definitions and properties of measures and integrals, it sets a foundation for fair sampling techniques within complex spaces, essential for applications like Monte Carlo integration. The chapter also discusses practical techniques for evaluating integrals, the significance of weighted measures, and provides illustrative examples to enhance understanding.