According to the characteristics and needs of virtual scenic roaming system, select the appropriate modeling techniques. By using the modeling platform scenic entity object model structure, and then build virtual tourist attractions, we propose hierarchical collision detection methods. This method actually meets the accuracy requirements under the premise, greatly reducing the number and complexity of collision detection; effectively improve the system in real time.
The substrate-independence theory utilizes sensemaking techniques to provide cognitively based scaffolds that guide and structure learning. Scaffolds are cognitive abstractions of constraints that relate to information within a system. The substrate-independence theory concentrates on the flow of information as the underlying property of the host system. The substrate-independence theory views social systems as complex adaptive systems capable of repurposing their structure to combat external threats by utilizing constructors and substrates. Constructor theory is used to identify potential construction tasks, the legitimate input and output states that are possible, to map the desired change in the substrate’s attributes. Construction tasks can be mapped in advance for ordered and known environments. Construction tasks may also be mapped in either real-time or post hoc for unordered and complex environments using current sensemaking techniques. Mapping of the construction tasks in real-time becomes part of the landscape, and scaffolds are implemented to aid in achieving the desired state or move to a more manageable environment (e.g., from complex to complicated).
Collision detection is one of the enabling technologies in many areas, such as virtual assembly simulation, physically-based simulation, serious games, and virtual-reality based medical training. This chapter will provide a number of techniques and algorithms that provide efficient, real-time collision detection for virtual objects. They are applicable to various kinds of objects and are easy to implement.
An optimized collision detection algorithm based on dynamic bounding volume tree is proposed in this paper. First this algorithm adopts spatial division to exclude objects which cant intersect to define the potential intersection areas. Then use a new dynamic OBB bounding volume tree to test whether the intersection happened between the objects in the same grid. At last, this algorithm improves the traditional overlapping test between the primitives for accurate collision detection to accelerate the detection between objects. Compared to the traditional collision detection algorithm based on OBB bounding volume. This algorithm can effectively improve the real-time of the collision detection without affecting the accuracy of original collision detection.
The Substrate-Independence Theory: Advancing Constructor Theory to Scaffold Substrate Attributes for the Recursive Interaction between Knowledge and Information
