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W e present several techniques f o r producing two visual and modeling effects in augmented reality. T h e first effect involves interactively calculating the occlusions between real and virtual objects. T h e second effect utilizes a collision detection algorithm to automatically move dynamic virtual objects until they come i n contact withstatic real objects in augmented reality. All of the techniques utilize calibrated data derived f r o m images of a real-world environment. † The term virtual objects refers to geometric models and their associated rendered forms. © Eurographics Association, 1996 this paper we present two approaches, model-based and depth-based, for calculating interactive occlusions, and performing automatic object placement. The advantages and disadvantages of each technique is discussed within the context of various AR applications. C-12 D. E. Breen et al. /Interactive Occlusion and Automatic Object Placement R e f e r e n c e s

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Augmented reality (AR) is a technology in which a user's view of the real world is enhanced or augmented with additional information generated from a computer model. Using AR technology, users can interact with a combination of real and virtual objects in a natural way. This paradigm constitutes the core of a very promising new technology for many applications. However, before it can be applied successfully, AR has to fulfill very strong requirements including precise calibration, registration and tracking of sensors and objects in the scene, as well as a detailed overall understanding of the scene. We see computer-vision and image-processing technology playing an increasing role in acquiring appropriate sensor and scene models. To balance robustness with automation, we integrate automatic image analysis with both interactive user assistance and input from magnetic trackers and CAD models. Also, in order to meet the requirements of the emerging global information society, future human-computer interaction will be highly collaborative and distributed. We thus conduct research pertaining to distributed and collaborative use of AR technology. We have demonstrated our work in several prototype applications, such as collaborative interior design and collaborative mechanical repair. This paper describes our approach to AR with examples from applications, as well as describing the underlying technology.