Workshop on Shape, Contour and Grouping

一种新的对象识别应用，即在数字图书馆中索引图像集，要求识别策略(1)在杂乱的场景中有效，(2)对于在类级别识别的对象--例如人或动物--有效。这些需求可以通过识别算法来满足，识别算法根据形状、阴影、纹理和颜色的风格化属性来解释世界，这些属性被称为“基元”。在这种方法中，对象由基元之间的空间关系集合表示。基元本身用作分组约束的来源。识别通过将可以代表基元的特征或区域组合在一起，然后组装可能来自对象的基元组来进行。没有显式的3D推理，但分组过程可能包含大量隐含的3D推理。这种塑造和识别的方法统一了美国和欧洲共同体计算机视觉活跃研究项目中研究的主题。一个联合研讨会，包括美国和欧盟的参与者(欧盟将为他们提供资金)，将探索使用分组和对称作为识别策略的表示法。主题将包括：阴影基元，由体积基元产生的图像形状约束，构建基于分组的表示和对象识别的整体策略。研讨会将于1998年初在西西里岛的埃赖斯举行。这些会议记录将以卷的形式发表在斯普林格计算机科学讲稿系列中。

A new application for object recognition, indexing image sets in digital libraries, demands recognition strategies that are (1) effective in cluttered scenes and (2) effective for objects recognised at a class level - for example, people or animals. These needs can be met by recognition algorithms that interpret the world in terms of stylised properties in shape, shading, texture and colour, which are caled 'primitives.' In this approach, objects are represented by a collection of spatial relationships between primitives. The primitives themselves are used as a source of grouping constraints. Recognition proceeds by grouping together features or regions that could represent a primitive, and then assembling groups of primitives that could have come from an object. There is no explicit 3D reasoning, but the grouping processes may contain a great deal of implicit 3D reasoning. This approach to shape and to recognition unites themes studied in active research programs in computer vision, both in the United States and in the European Community. A joint workshop, involving both US and E.C. participants (for whom E.C. funding will be available), will explore representations that use grouping and symmetry as a recognition strategy. Topics will include: shading primitives, image shape constraints that result from volumetric primitives, building grouping-based representations and overall strategies for object recognition. The workshop will be held in Erice, Sicily, in early 1998. The proceedings will be published as a volume in the Springer Lecture Notes in Computer Science series.