Abstract: A composite image generation system comprises: a position information detection device that detects position information about a predetermined spot in a real space; and a processing device that generates a composite image in which a separately acquired superimposed image is overlaid onto a desired region in a camera image of the real space captured by a movably placed video camera, based on the detected position information. In the processing device, after performing an initial setting that sets a global coordinate system that serves as a reference when generating the composite image, the initial setting being performed while each optical marker is in a stationary state, position information about a peripheral marker used during the initial setting is reset according to a recognition state of the peripheral marker provided at a predetermined spot presumed to be disposed in the stationary state and a detection state from an acceleration sensor.

Abstract: A composite image generation system comprises: a position information detection device 14 that detects position information about a predetermined spot in a real space; and a processing device 16 that generates a composite image in which a separately acquired superimposed image is overlaid onto a desired region in a camera image of the real space captured by a movably placed video camera 18, based on the position information from the position information detection device 14. The processing device 16 includes a position information specifying means 35 that adjusts a detection result from the position information detection device 14 to specify position information about a probe 19 used when superimposing the superimposed image onto the desired region.

Abstract: A composite image generation system comprises: a position information detection device 14 that detects position information about a predetermined spot in a real space; and a processing device 16 that generates a composite image in which a separately acquired superimposed image is overlaid onto a desired region in a camera image of the real space captured by a movably placed video camera 18, based on the position information from the position information detection device 14. The processing device 16 includes a position information specifying means 35 that adjusts a detection result from the position information detection device 14 to specify position information about a probe 19 used when superimposing the superimposed image onto the desired region.

Abstract: A composite image generation system comprises: a position information detection device that detects position information about a predetermined spot in a real space; and a processing device that generates a composite image in which a separately acquired superimposed image is overlaid onto a desired region in a camera image of the real space captured by a movably placed video camera, based on the detected position information. In the processing device, after performing an initial setting that sets a global coordinate system that serves as a reference when generating the composite image, the initial setting being performed while each optical marker is in a stationary state, position information about a peripheral marker used during the initial setting is reset according to a recognition state of the peripheral marker provided at a predetermined spot presumed to be disposed in the stationary state and a detection state from an acceleration sensor.

Abstract: An input device which includes plural inputting units, each accepting external information, including a unit for recognizing an input time of input information accepted via each of the plural inputting means; a unit for dividing or merging the input information into a predetermined primitive analysis unit, to obtain a recognition result; a unit for estimating the input time of a unit recognition result, by using an estimating method predetermined for each of the inputting units; and a unit for collecting some of the recognition results whose estimated input times are close to one another, and outputting the collected information as a semantic analysis unit. An input content is specified by collecting plural pieces of input information being signals input from plural inputting units.

Abstract: It is an object to provide a computer system including a practical input device which can be operated with more natural sense. The present input pen which is used in combination with a tablet includes: a speech recognition unit for analyzing a speech sound, which is fetched in through a microphone, as a command or the like; an image reconfiguring unit for composing, after correcting image distortion generated due to inclination of the pen body for each image in the vicinity of a pen head which is photographed along with the strokes of the input pen by a CCD camera, the series of images into a general image; and a reference line generating circuit for lasing a laser beam with which a projected image utilized to calculate an angle of inclination is formed onto a face of an object of photographing. In addition, since an oscillation circuit generates a magnetic field corresponding to the data forming the general image on the basis of control by an a.c.

Abstract: An inference method and an inference apparatus for use with a knowledge base system and knowledge base system supporting method and apparatus using the inference method and apparatus wherein there are employed rules each being comprised of a set of (1) a condition description part including a condition stipulating a plurality of states of a frame representing an object and constituting an object world of at least one pair of a slot and a value thereof and (2) an operation description part stipulating an operation to be executed when the condition is satisfied. For an inference processing, a rule for which a condition of its condition description part is satisfied is executed according to an operation described in the operation description part. A condition judging sequence is specified for satisfaction of a condition for each frame of the condition description part of the rule.

Abstract: A method for generating a network to cope with a conditional part or an IF part having a comparison between variable data and a logical sum between comparisons which appear in a Rete network adopted in a production system using the knowledge technology scheme. In association with an intra-node, a candidate node is disposed in another conditional clause referencing a variable, and a data which was previously accepted but which did not satisfy the conditions or a data most likely to pass through the network is stored in the candidate node in advance. For the intra-node in the object processing, the value of the candidate node is loaded for judging the conditions.

Abstract: A knowledge-based system comprising a plurality of knowledge processors each of which includes a knowledge base and performs a reasoning process for replying to a request from a user, and a file server which is connected to the knowledge processors through a transmission line. When each knowledge processor cannot resolve the user's request with the knowledge base of its own, it sends a request message to the other processor or processors through the transmission line. Reply messages from the other knowledge processors complying with the request message are managed in correspondence with the requests by the file server which receives the reply messages, and when a predetermined condition has been established, a reply is given to the knowledge processor which is the source of the request.

Abstract: A dynamic network reconstruction method in which the node processing information such as a node processing volume and a ratio at which a node is satisfied is collected for all nodes to maintain an efficient network even when the characteristic of an object described in a condition clause is changed in a Rete network of a production system using the knowledge technology and the network is changed based on the node processing information.

Abstract: A method of resource allocating to respective unit processes is disclosed which comprises, in order to allow the resource allocation based on experimental know-how of operation without assistance of a system operator, the steps of storing information of each unit processor including its priority, and names and functions of the resources required by that unit processor; storing information of each resource including an operation status and a process content of that resource; storing experimental know-how obtained in the operation of the system; and carrying out resource allocation to the unit processes in accordance with the stored experimental know-how when the operation status of the system corresponds to the stored experimental know-how and in the order of priorities of the unit processes as stored by taking reference to the stored information of each resource when the operation status of the system does not correspond to the stored experimental know-how, thereby improving the utilization efficiency of the