Abstract: The present disclosure provides a multi-factor quantitative analysis method for deformation of a neighborhood tunnel. The method includes the following steps: analyzing monitoring data generated at a tunnel site; simulating collapse occurring at a shallow buried section of a tunnel; determining the degree of influence of each factor on the tunnel and a stratum; and determining quantitative influence of each factor on tunnel deformation. The present disclosure can not only provide an accurate theoretical basis for the construction of the shallow buried section of the small-distance tunnel, but also guarantee safety and cost saving during tunnel construction.

Abstract: The method includes a dictionary including a target collection defined by images that are known with a defined level of certainty to include a subject and an imposter collection defined by images of individuals other than the subject. In the method, images of an area are captured over a period of time. In respect of each image: a matching calculation is carried out, based upon a comparison of the image captured with the images in the dictionary to result in a measure of confidence that the subject is in the area; and an inference determination is made to replace one of the target collection images with a further image that is known with the defined level of certainty, the determination being a function of the measure of confidence resultant from the captured image, the measure resultant from one or more previously captured images and the associated capture times.

Abstract: A method for sharing a mixed reality experience (mixed reality content, mixed reality event) between one or more computing devices is disclosed. The method includes: determining a spatial location and a spatial orientation (spatial data) of the one or more computing devices each having a camera; mapping the (spatial) location and/or the spatial orientation (spatial data) of each of the one or more computing devices into a mixed reality manager; and presenting an event that is shared among the one or more computing devices, and, the presenting of the event is experienced simultaneously and varies among each of the one or more computing devices depending on the location or the orientation or both.

Abstract: A method for use with a stream of images defining a video. The method includes the steps of periodically conducting a face finding operation on an image in the stream. In respect to the last image in the stream preceding the image in which one or more faces was found, a tracker based upon wavelet decomposition is used to find a face for each face found in the last image for which no counterpart was found in the image.

Abstract: The method includes a dictionary including a target collection defined by images that are known with a defined level of certainty to include a subject and an imposter collection defined by images of individuals other than the subject. In the method, images of an area are captured over a period of time. In respect of each image: a matching calculation is carried out, based upon a comparison of the image captured with the images in the dictionary to result in a measure of confidence that the subject is in the area; and an inference determination is made to replace one of the target collection images with a further image that is known with the defined level of certainty, the determination being a function of the measure of confidence resultant from the captured image, the measure resultant from one or more previously captured images and the associated capture times.

Abstract: A method for use with a stream of images defining a video. The method includes the steps of periodically conducting a face finding operation on an image in the stream. In respect to the last image in the stream preceding the image in which one or more faces was found, a tracker based upon wavelet decomposition is used to find a face for each face found in the last image for which no counterpart was found in the image.

Abstract: A method for sharing a mixed reality experience (mixed reality content, mixed reality event) between one or more computing devices is disclosed. The method includes: determining a spatial location and a spatial orientation (spatial data) of the one or more computing devices each having a camera; mapping the (spatial) location and/or the spatial orientation (spatial data) of each of the one or more computing devices into a mixed reality manager; and presenting an event that is shared among the one or more computing devices, and, the presenting of the event is experienced simultaneously and varies among each of the one or more computing devices depending on the location or the orientation or both.