Abstract: The invention provides a verification method of the dynamic virtual image display distance of a user interface, comprising the following steps: creating a tested image database; wherein the tested image database comprises a tested image displayed according to a standard virtual image display distance; displaying a first tested image; projecting a first image on a stacked image element; wherein the first image is displayed at a first virtual image display distance, which is the same with a first standard virtual image display distance of the first tested image; capturing the first tested image and the first image; performing a first reliability evaluation procedure for the first image and the first tested image; and calculating a first overlap ratio for the first image and the first tested image to verify accuracy of the user interface.

Abstract: The present invention relates to a method for size estimation by image recognition of a specific target using a given scale. First, a reference objected is recognized in an image and the corresponding scale is established. Then the specific target is searched and the size of the specific target is estimated according to the acquired scale.

Abstract: A localization and mapping method is for localizing and mapping a moving apparatus in a moving process. The localization and mapping method includes an image capturing step, a feature point extracting step, a flag object identifying step, and a localizing and mapping step. The image capturing step includes capturing an image frame at a time point of a plurality of time points in the moving process by a camera unit. The flag object identifying step includes identifying whether the image frame includes a flag object among a plurality of the feature points in accordance with a flag database. The flag database includes a plurality of dynamic objects, and the flag object is corresponding to one of the dynamic objects. The localizing and mapping step includes performing localization and mapping in accordance with the image frames captured and the flag object thereof in the moving process.

Abstract: A localization and mapping method is for localizing and mapping a moving apparatus in a moving process. The localization and mapping method includes an image capturing step, a feature point extracting step, a flag object identifying step, and a localizing and mapping step. The image capturing step includes capturing an image frame at a time point of a plurality of time points in the moving process by a camera unit. The flag object identifying step includes identifying whether the image frame includes a flag object among a plurality of the feature points in accordance with a flag database. The flag database includes a plurality of dynamic objects, and the flag object is corresponding to one of the dynamic objects. The localizing and mapping step includes performing localization and mapping in accordance with the image frames captured and the flag object thereof in the moving process.

Abstract: The invention relates to production of a porous microstructure using the high internal phase emulsion (HIPE) templating technology. The invented method involves subjecting an emulsion prepared by emulsification of two immiscible phases to forced sedimentation, such as subjecting the emulsion to centrifugation, so as to increase the volume ratio of the dispersed phase to the continuous phase to obtain a high internal phase emulsion (HIPE), following by curing the continuous phase, whereby the porous microstructure thus produced has an increased porosity.

Abstract: The invention relates to production of a porous microstructure using the high internal phase emulsion (HIPE) templating technology. The invented method involves subjecting an emulsion prepared by emulsification of two immiscible phases to forced sedimentation, such as subjecting the emulsion to centrifugation, so as to increase the volume ratio of the dispersed phase to the continuous phase to obtain a high internal phase emulsion (HIPE), following by curing the continuous phase, whereby the porous microstructure thus produced has an increased porosity.

Abstract: The present invention is related to multifunctional cloth and multifunctional mask, which are antibacterial and antiviral and can block PM2.5 particles. The multifunctional cloth includes at least one polytetrafluoroethylene (PTFE) layer and at least one active layer. The active layer includes a carrier and a nanocomposite material formed on the carrier, and the nanocomposite material is antibacterial, antiviral and can decompose organics. The multifunctional mask includes at least one PTFE layer, at least one active layer and a skin-friendly layer. The multifunctional cloth and the multifunctional mask can further include a water-repellent layer.

Abstract: A method for analyzing a number of people includes an image shooting step and a front-end analyzing step. In the image shooting step, a first image and a second image are obtained. In the front-end analyzing step, a foreground object analysis is operated, and a plurality of foreground objects located at a region of interest in the first image are obtained. A human body detection is operated, and at least one human body and a location thereof of the second image are obtained. An intersection analysis is operated, and the location of the human body is matched to the first image. A number of people estimation is operated to estimate the number of the people according to the first covering ratio, a number of the human body, and a second covering ratio of all the foreground objects to the region of interest.

Abstract: A method for analyzing a number of people includes an image shooting step and a front-end analyzing step. In the image shooting step, a first image and a second image are obtained. In the front-end analyzing step, a foreground object analysis is operated, and a plurality of foreground objects located at a region of interest in the first image are obtained. A human body detection is operated, and at least one human body and a location thereof of the second image are obtained. An intersection analysis is operated, and the location of the human body is matched to the first image. A number of people estimation is operated to estimate the number of the people according to the first covering ratio, a number of the human body, and a second covering ratio of all the foreground objects to the region of interest.

Abstract: The present invention relates to a method for size estimation by image recognition of a specific target using a given scale. First, a reference objected is recognized in an image and the corresponding scale is established. Then the specific target is searched and the size of the specific target is estimated according to the acquired scale.

Abstract: A nighttime vehicle detecting method is for capturing an image by a camera and driving a computing unit to compute the image and then detect a highlight point of the image. The nighttime vehicle detecting method is for driving the computing unit to perform a communicating region labeling algorithm to label a plurality of highlight pixels connected to each other as a communicating region value, and then performing an area filtering algorithm to analyze an area of the highlight pixels connected to each other and judge whether the highlight pixels connected to each other are a vehicle lamp or not according to a size of the area. The nighttime vehicle detecting method is for driving the computing unit to perform an optical flow algorithm to obtain a speed of the vehicle lamp, and then filtering the vehicle lamp moved at the speed smaller than a predetermined speed.

Abstract: A video monitoring method that involves determining motion changes in a set of video frames to find potential objects is described. One or more bounding boxes are defined around the potential objects. These bounding boxes are spatially and temporally filtered to eliminate potential object candidates, with only potential objects in the bounding boxes remaining after filtering being classified or identified.

Abstract: An apparatus for isolating bubbles from a liquid comprises at least a main body; an inlet tube and an outlet tube disposed at a side of the main body which includes an accommodation chamber and a column disposed atop, the inlet tube is formed with an aperture within the accommodation chamber, and the outlet tube is disposed at a position below the inlet tube; and a coupling tube disposed within the accommodation chamber, and includes a first end connected to the inlet tube and a second end corresponding to and separating from the outlet tube by a gap. During use, a liquid dispersed with bubbles is introduced through the inlet tube. The bubbles pass through the aperture along with a small portion of the liquid and ascend toward a top of the accommodation chamber and are then collected by the column.

Abstract: A method for processing arrival or removal of packages within the field of view of a video camera includes providing a database for recording packages placed in the field of view. Based on real-time analysis of successive image frames in the camera, a human person's entry and exit from the field of view of the camera is also detected. Delivery or removal of objects is recorded in the database. In one embodiment, the method also determines whether or not a newly arrived package is placed alongside or on top of an existing package.

Abstract: An apparatus for isolating bubbles from a liquid comprises at least a main body; an inlet tube and an outlet tube disposed at a side of the main body which includes an accommodation chamber and a column disposed atop, the inlet tube is formed with an aperture within the accommodation chamber, and the outlet tube is disposed at a position below the inlet tube; and a coupling tube disposed within the accommodation chamber, and includes a first end connected to the inlet tube and a second end corresponding to and separating from the outlet tube by a gap. During use, a liquid dispersed with bubbles is introduced through the inlet tube. The bubbles pass through the aperture along with a small portion of the liquid and ascend toward a top of the accommodation chamber and are then collected by the column.

Abstract: A lane tracking method is proposed for use by an autonomous vehicle running on a lane. A future location of the autonomous vehicle that corresponds to a future time point is estimated based on a current location and a measurement result of an inertial measurement unit of the autonomous vehicle. The future location of the autonomous vehicle, and a reference lane line data and a reference past location that correspond to a reference past time point are used to estimate a future lane line data that corresponds to the future time point.

Abstract: A lane tracking method is proposed for use by an autonomous vehicle running on a lane. A future location of the autonomous vehicle that corresponds to a future time point is estimated based on a current location and a measurement result of an inertial measurement unit of the autonomous vehicle. The future location of the autonomous vehicle, and a reference lane line data and a reference past location that correspond to a reference past time point are used to estimate a future lane line data that corresponds to the future time point.

Abstract: A vehicle lateral control system having a lane model with modulation weighting for controlling a vehicle includes a camera, an image processing device, a controller and a steering device. The camera is configured to capture a front image of the vehicle to generate a front image dataset. The front image dataset is analyzed by the image processing device to obtain a plurality of lane markers, and the image processing device establishes a lane fitting curve according to the lane markers and a target weighting. The controller has a plurality of vehicle dynamic parameters and a target distance. The target weighting is changeable according to the target distance. The controller generates a steering control weighting according to the lane fitting curve and the vehicle dynamic parameters. The steering device is configured to control a turning direction of the vehicle according to the steering control weighting.

Abstract: A nighttime vehicle detecting method is for capturing an image by a camera and driving a computing unit to compute the image and then detect a highlight point of the image. The nighttime vehicle detecting method is for driving the computing unit to perform a communicating region labeling algorithm to label a plurality of highlight pixels connected to each other as a communicating region value, and then performing an area filtering algorithm to analyze an area of the highlight pixels connected to each other and judge whether the highlight pixels connected to each other are a vehicle lamp or not according to a size of the area. The nighttime vehicle detecting method is for driving the computing unit to perform an optical flow algorithm to obtain a speed of the vehicle lamp, and then filtering the vehicle lamp moved at the speed smaller than a predetermined speed.

Abstract: An image-based vehicle classification system includes a camera and an image server connected to the camera. The camera captures images of a road to result in an image stream. The image server includes a processor for receiving the image stream from the camera. For each of the images of the image stream, the processor performs image segmentation, a thinning process, an erosion process and a dilation process, and classifies, by a neural network classifier, a vehicle image part contained in the image into one of a large-size car class, a passenger car class and a motorcycle class when it is determined that the vehicle image is crossing an imaginary line set in advance in the image for counting vehicles.