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We use analyses of phylogeographic population structure across a suite of 12 mammalian, avian, amphibian, and reptilian species and species-groups to assess the role of Late Miocene to Pleistocene geological history in the evolution of a distinct Baja California Peninsular Desert biota. Comparative examination of phylogroup distributions provides support(More)
Phylogeographic relationships among 26 populations from throughout the geographic range of the Peromyscus eremicus species group are described based on sequence data for a 699-bp fragment of the mitochondrial DNA COIII gene. Distance, maximum-likelihood, and maximum-parsimony analyses of phylogenetic trees generated under four separate character-weighting(More)
Isolation and introgression in the Intermountain West: contrasting gene genealogies reveal the complex biogeographic history of the American pika (Ochotona princeps) ABSTRACT Aim We studied the history of colonization, diversification and introgression among major phylogroups in the American pika, Ochotona princeps (Lagomorpha), using comparative and(More)
The census transform is becoming increasingly popular in the context of optic flow computation in image sequences. Since it is invariant under monotonically increasing grey value transformations, it forms the basis of an illumination-robust constancy assumption. However , its underlying mathematical concepts have not been studied so far. The goal of our(More)
Incorporating invariances is a popular tool to make computer vision systems more robust under real-world conditions. Since being invariant means ignoring something, every invariance has to come at the price of a loss of information. In our paper, we focus on severe illumination changes and descriptors that are invariant under such challenging conditions.(More)
Focus fusion methods combine a set of images focused at different depths into a single image where all parts are in focus. The quality of the fusion result strongly depends on a decision map that determines the in-focus areas. Most approaches in the literature achieve this by local decisions without explicitly enforcing smoothness of the depth map. The goal(More)
In recent years, the popularity of the census transform has grown rapidly. It provides features that are invariant under monotonically increasing intensity transformations. Therefore, it is exploited as a key ingredient of various computer vision problems, in particular for illumination-robust optic flow models. However, despite being extensively applied,(More)
Invariances are one of the key concepts to render computer vision algorithms robust against severe illumination changes. However, there is no free lunch: With any invariance comes an unavoidable loss of information. The goal of our paper is to introduce two novel descriptors which minimise this loss: the complete rank transform and the complete census(More)