Four papers in this issue discuss computational metrology strategy and propose scanning methods. In the first, “Computational Metrology for the Specification, Production, and Verification of Product Geometry,” Srinivasan defines the field of computational metrology and describes state-of-the-art methods for specification, production, and verification of product geometry. The solutions involve both continuous and combinatorial optimization problems. The second paper, “3D Digitizing Strategy Planning Approach Based on CAD” by Derigent et al. , presents a new method to test the visibility of a given part in a five-axis model. The method involves a newly developed heuristic for choosing the minimal number of directions required to entirely digitize a part using a laser or CMM. In the third paper, entitled “Multimodal Industrial Inspection and Analysis,” Singh et al. propose a data fusion method for inspection. The method involves nondestructive scanning technologies such as infrared thermography, ultrasound, CT/X-Ray, and CMM and is based on data fusion, construction of a solid model, representation of material variation, and defects and model analysis. The fourth paper, “Adaptive Range Sampling Using a Stochastic Model” by Devir and Lindenbaum, presents a new stochastic method for sequential point-sampling for 3D surface reconstruction. The paper focuses on terrestrial topographic mapping using mechanical devices such as a laser scanner.