A group of rational individuals with common interest need to select one of two outcomes. The optimal decision depends on whether certain premises or pieces of evidence are established as being true, and each member receives a noisy signal of the truth value of the relevant premises. Should the group reach a decision by voting whether each premise is true or false, or should they simply vote on ...

abnormal function of the gastrointestinal tract, hepatobiliary system, and pancreas. It is published 12 times a year (monthly) by the publishes original articles pertaining to all aspects of research involving normal or AJP-Gastrointestinal and Liver Physiology

Parameterized Appearance Models (PAMs) (e.g. Eigentracking [2], active shape models [6], active appearance models [5, 12], morphable models [3, 11]) are commonly used to model the appearance and shape variation of objects in images. While PAMs have numerous advantages relative to alternative approaches, they have at least two drawbacks. First, they are especially prone to local minima in fittin...

Active contours and active shape models (ASM) have been widely employed in image segmentation. A major limitation of active contours, however, is in their (a) inability to resolve boundaries of intersecting objects and to (b) handle occlusion. Multiple overlapping objects are typically segmented out as a single object. On the other hand, ASMs are limited by point correspondence issues since obj...

In this article we present a new method for automatic landmark extraction from the contours of biological specimens. Our ultimate goal is to enable automatic identification of biological specimens in photographs and drawings held in a database. We propose to use Active Appearance Models for visual indexing of both photographs and drawings. Automatic landmark extraction will assist us in buildin...

In this paper, we propose to combine Active Shape Models (ASMs) and Active Appearance Models (AAMs), for reliable image interpretation. In the proposed method, ASM local searching strategy is firstly used, then, besides the statistical shape constraints as in the ASMs, global texture constraint based on the subspace reconstruction error is further exploited to evaluate the fitting degree of the...

In this chapter, we introduce concepts and algorithms of shape and texture based deformable models, more specifically Active Shape Models (ASM), Active Appearance models (AAM) and Morpahble Models, for for facial image analysis. Such models, learned from training examples, allow admissible deformations under statistical constraints on the shape and/or texture of the pattern of interests. As suc...