In this paper we discuss how to reconstruct 3D models from multi-view engineering draws by employing human engineers' approaches. Human's 'divide and conquer' interpretation strategy in visual cognition is simulated, and successfully carried out on the basis of spatial division of 3D object space. At first, a volume-oriented method is utilized to decompose the 3D object space in a set of 3D 'cell-boxes' whose three-view bounding rectangles will isolate its related sub-projections from input projections views, and in every cell-box a cell primitive is implied. Then, a 3D model of each cell primitive is 'locally' generated from its 'sub-projection' views by wire-frame oriented algorithms. The final interpretation result of the overall projection-views is a 'Union' of these cell primitives. To deal with the ambiguity, a visual reasoning engine is implemented on the basis of principles from Gestalt psychology. It will be activated to pick out the most reasonable interpretation, when ambiguities are generated during the reconstruction process. The section views are also incorporated in getting rid of the ambiguity. Moreover, we design a natural and convenient interaction way to encourage the user to be involved in the process while interpreting complex projections. The key steps of this human-like reconstruction approach are presented in detail-2002 Elsevier Science Ltd. All rights reserved.

In this paper, we present a human-like nonphotorealistic rendering approach. A typical pi-ocess of how human engineers learn to paint technical illirsfration is as follows: At first 1he.v are trained on how to paint separate primitives such as cubes and spheres, and accordingly acciimirlate the empirical drawing principles arid skills during their continuous practices, and finally they can fieely express complicated shapes and engineering information in their illustrations by composing the related primitives' drawings. We manage to mimic this human-like approach by embedding established illirstration rules into prirnitives' lighting models and its drawing algorithms. and implement it in an illustration system-RE TOUCH.

文中主要研究了CAN领域中的表达型绘制技术。针对机械零件的黑白润饰的特点，提出了以表面特性解释为基础的表达型绘制方法，进而系统地研究了基于区域特性来模拟不同表面润饰的各种手法和关键算法，并完成了一个实验系统RETOUCH。

基于人的理解过程和方法，文中提出了工程视图理解的新算法框架。它允许用户参与到理解过程中，在出现歧义时，根据人的视觉认知规律进行“猜测”和“理解”，可得到与人的理解结果更为一致的解，并允许加入剖视图的处理。该文着重介绍该方法的算法思想，以及基元的划分与生成、剖视图处理、视觉推理等关键算法步骤。

本文提出了一种用于通侦信息智能化融合系统的多层黑板模型，讨论该模型的体系结构和实现方法，给出几个关键算法和一个应用例子，最后指出该模型对解决各级子黑板之间呈现出层次关系的一类问题具有普适性。