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Outlier-contaminated data is a fact of life in computer vision. For computer vision applications to perform reliably and accurately in practical settings, the processing of the input data must be conducted in a robust manner. In this context, the maximum consensus robust criterion plays a critical role by allowing the quantity of interest to be estimated from noisy and outlier-prone visual measurements. The maximum consensus problem refers to the problem of optimizing the quantity of interest according to the maximum consensus criterion. This book provides an overview of the algorithms for...

One of the distinguishing features of the World War II German Army uniform is the use of shoulder straps and boards to denote rank, branch of service, and in some cases the assigned unit right down to the company. This heavily illustrated book covers construction methods, material, types and styles of embroidery and metal devices, as well as the identification of branch and unit. Detailed charts are used to identify unit affiliation of Gothic letters, Latin letters, Roman numerals, Arabic numerals, and Symbolic Devices. Containing over 1,000 color photographs of straps and boards, as well as...