Abstract: A facial recognition system and a physiological information generative method are disclosed. The facial recognition system includes a visible light sensor, a thermal imaging sensor, and a processor. The generative method is executed by the processor, using a real-time object detection algorithm. The generative method includes receiving one or more current visible and thermal images, and identifying the nasal area in the current thermal images when a face region in the current visible images is not identifiable by the real-time object detection algorithm in the processor; determining in the processor that respiratory information is abnormal according to the cycles of exhalation and inhalation, as detected through brightness changes in the nostril area; and notifying abnormal respiratory information.

Abstract: A thermal imaging apparatus for measuring a temperature of a target in a monitored area comprises a thermal imager, an optical image capturing device and a computing processing device. The thermal imager is configured to capture a thermal image of the monitored area. The optical image capturing device is configured to capture optical images of the monitored area. The computing processing device is configured to determine one of the optical images as a determined optical image synchronizing with the thermal image according to positions of blocks corresponding to the target in the thermal image and the optical images, perform calculation according to the thermal image and the determined optical image to obtain a measured distance between the target and the thermal imaging apparatus, and perform calibration according to the measured distance and the thermal image to obtain a calibrated temperature value of the target.

Abstract: A multi-modal image alignment method includes obtaining first points corresponding to a center vertex of a calibration object and second point groups corresponding to side vertices of the calibration object from two-dimensional images, obtaining third points corresponding to the center vertex from three-dimensional images, performing first optimizing computation using a first coordinate system associated with the two-dimensional images, the first points and the third points to obtain a first transformation matrix, processing on the three-dimensional images using the first transformation matrix to generate firstly-transformed images respectively, performing second optimizing computation using the firstly-transformed images, the first points and the second point groups to obtain a second transformation matrix, and transforming an image to be processed from a second coordinate system associated with the three-dimensional images to the first coordinate system using the first transformation matrix and the second t

Abstract: A thermal imaging apparatus for measuring a temperature of a target in a monitored area comprises a thermal imager, an optical image capturing device and a computing processing device. The thermal imager is configured to capture a thermal image of the monitored area. The optical image capturing device is configured to capture optical images of the monitored area. The computing processing device is configured to determine one of the optical images as a determined optical image synchronizing with the thermal image according to positions of blocks corresponding to the target in the thermal image and the optical images, perform calculation according to the thermal image and the determined optical image to obtain a measured distance between the target and the thermal imaging apparatus, and perform calibration according to the measured distance and the thermal image to obtain a calibrated temperature value of the target.

Abstract: Provided are an image transform method and an image transform network. The method is for the image transform network including an image generator, a transform discriminator and a focus discriminator, and includes: generating a transformed image according to an un-transformed image and focus information by the image generator; computing a transform discrimination value according to the transformed image by the transform discriminator; computing a value of a first generator loss function and updating the image generator by the image generator; generating a focus discrimination value according to the un-transformed image, the transformed image, and the focus information by the focus discriminator; and computing a value of a second generator loss function according to the focus discrimination value and updating the image generator according to the value of the second generator loss function by the image generator.

Abstract: Provided are an image transform method and an image transform network. The method is for the image transform network including an image generator, a transform discriminator and a focus discriminator, and includes: generating a transformed image according to an un-transformed image and focus information by the image generator; computing a transform discrimination value according to the transformed image by the transform discriminator; computing a value of a first generator loss function and updating the image generator by the image generator; generating a focus discrimination value according to the un-transformed image, the transformed image, and the focus information by the focus discriminator; and computing a value of a second generator loss function according to the focus discrimination value and updating the image generator according to the value of the second generator loss function by the image generator.

Abstract: A controlling system and a controlling method for virtual display are provided. The controlling system for virtual display includes a visual line tracking unit, a space forming unit, a hand information capturing unit, a transforming unit and a controlling unit. The visual line tracking unit is used for tracking a visual line of a user. The space forming unit is used for forming a virtual display space according to the visual line. The hand information capturing unit is used for obtaining a hand location of the user's one hand in a real operation space. The transforming unit is used for transforming the hand location to be a cursor location in the virtual display space. The controlling unit is used for controlling the virtual display according to the cursor location.

Abstract: An electronic device, an iris recognition method and a non-volatile computer-readable medium are provided. A processor in the electronic device obtains a first and second iris images, and calculates a plurality of first and second feature mark boxes that are non-uniformly arranged according to the first and second iris images. The processor uses the first feature mark boxes to obtain a first and second image features from the first and second iris images respectively, and compares the first and second image features to obtain a first recognition result. The processor uses the second feature mark boxes to obtain a third and fourth image features from the second and first iris images respectively, and compares the third and fourth image features to obtain a second recognition result. The processor determines a similarity degree of the first and second iris images according to the first and second recognition results.

Abstract: A controlling system and a controlling method for virtual display are provided. The controlling system for virtual display includes a visual line tracking unit, a space forming unit, a hand information capturing unit, a transforming unit and a controlling unit. The visual line tracking unit is used for tracking a visual line of a user. The space forming unit is used for forming a virtual display space according to the visual line. The hand information capturing unit is used for obtaining a hand location of the user's one hand in a real operation space. The transforming unit is used for transforming the hand location to be a cursor location in the virtual display space. The controlling unit is used for controlling the virtual display according to the cursor location.

Abstract: An electronic device, an iris recognition method and a non-volatile computer-readable medium are provided. A processor in the electronic device obtains a first and second iris images, and calculates a plurality of first and second feature mark boxes that are non-uniformly arranged according to the first and second iris images. The processor uses the first feature mark boxes to obtain a first and second image features from the first and second iris images respectively, and compares the first and second image features to obtain a first recognition result. The processor uses the second feature mark boxes to obtain a third and fourth image features from the second and first iris images respectively, and compares the third and fourth image features to obtain a second recognition result. The processor determines a similarity degree of the first and second iris images according to the first and second recognition results.

Abstract: A display control apparatus and a display control method are disclosed. The display control apparatus comprises a recognition circuit and a mapping circuit. The recognition circuit recognizes a head position and a control point position of an operator. The mapping circuit dynamically adjusts the operating boundary according to the head position, the control point position and a display boundary, and calculates the cursor position on a display according to the control point position, the operating boundary and the display boundary, wherein the cursor position remains on a imagine line passing through the head position and the control point position.

Abstract: According to one exemplary embodiment, a smoothing method for time data sequences is performed, which includes: smoothing original data points of a time data sequence, then from smoothed data points, determining reference points for a global trajectory and a local trajectory; according to the reference points, calculating a direction of the global trajectory and a direction of the local trajectory; and adaptively calculating new data point(s) by integrating the two directions. The trajectory of new data points maintains the properties of smoothness and real-time perception.

Abstract: A method for constructing a gesture mouse utilizes an object e.g., a user's palm) in the background of the photographed region of a video camera as a determination basis. In a computer system, (1) for the image of an object, the point with maximum Y-axis value is set to be a cursor; (2) the point with maximum X-axis value is set to be a push button; (3) the cursor and the push button are used as centers to set small tracking areas respectively; (4) if the distance between the cursor and the push button becomes greater than a designated threshold within a time period, an action of the push button is determined to occur. Images obtained by the video camera are input into a computer through the digital image interface of the video camera or an analog/digital converting card for further processing.

Abstract: A facial animation production method for producing 3-dimensional (3D) facial animation data in response to input video data includes the following steps. First, data positioning and character sorting processes are performed on the input video data to acquire first-layer character data, for indicating multiple first-layer character points, and first-layer model data. Next, first-layer model outline data and first-layer character outline data are respectively obtained according to the first-layer model data and the first-layer character data. Then, the first-layer character outline data is compared with the first-layer model outline data to judge whether a judgment condition is satisfied. If not, output character data are produced according to the first-layer character data, and fundamental facial-mesh transformation data are thus produced. Thereafter, the 3D facial animation data are displayed according to the fundamental facial-mesh transformation data.

Abstract: An image depth information refreshing method applied to an image depth information refreshing device is disclosed. The image depth information refreshing device includes a storage unit and an arithmetic logic unit. The storage unit stores a previous depth diagram corresponding to a previous image. The image depth information refreshing method includes the following steps. The arithmetic logic unit divides a current image captured by an image capturing unit into multiple image blocks. The arithmetic logic unit calculates a depth reference value of each image block according to the previous depth diagram, and determines a weight of each image block according to the depth reference values. The arithmetic logic unit determines a refreshing frequency of each image block according to the weights. The arithmetic logic unit respectively refreshes the image block according to the refreshing frequencies of the image blocks, and generates a current depth diagram corresponding to the current image.

Abstract: Disclosed are a method and an apparatus for constructing an accurate three-dimensional model. The apparatus includes a plurality of light sources, an image-capturing element and an image-processing unit. The present invention is used to integrate the two-dimensional images from different views of an object into a high accurate three-dimensional model. Compared with conventional apparatuses, the apparatus of the present invention is useful without safety problems, relatively easily manipulated, and capable of quick image reconstruction.

Abstract: A display control apparatus and a display control method are disclosed. The display control apparatus comprises a recognition circuit and a mapping circuit. The recognition circuit recognizes a head position and a control point position of an operator. The mapping circuit dynamically adjusts the operating boundary according to the head position, the control point position and a display boundary, and calculates the cursor position on a display according to the control point position, the operating boundary and the display boundary, wherein the cursor position remains on a imagine line passing through the head position and the control point position.

Abstract: An image depth information refreshing method applied to an image depth information refreshing device is disclosed. The image depth information refreshing device includes a storage unit and an arithmetic logic unit. The storage unit stores a previous depth diagram corresponding to a previous image. The image depth information refreshing method includes the following steps. The arithmetic logic unit divides a current image captured by an image capturing unit into multiple image blocks. The arithmetic logic unit calculates a depth reference value of each image block according to the previous depth diagram, and determines a weight of each image block according to the depth reference values. The arithmetic logic unit determines a refreshing frequency of each image block according to the weights. The arithmetic logic unit respectively refreshes the image block according to the refreshing frequencies of the image blocks, and generates a current depth diagram corresponding to the current image.

Abstract: A facial animation production method for producing 3-dimensional (3D) facial animation data in response to input video data includes the following steps. First, data positioning and character sorting processes are performed on the input video data to acquire first-layer character data, for indicating multiple first-layer character points, and first-layer model data. Next, first-layer model outline data and first-layer character outline data are respectively obtained according to the first-layer model data and the first-layer character data. Then, the first-layer character outline data is compared with the first-layer model outline data to judge whether a judgment condition is satisfied. If not, output character data are produced according to the first-layer character data, and fundamental facial-mesh transformation data are thus produced. Thereafter, the 3D facial animation data are displayed according to the fundamental facial-mesh transformation data.

Abstract: This disclosure discloses a trajectory-based control method which includes the steps of: obtaining at least one smoothed coordinate of an object in accordance with an object tracking procedure; performing a function control mode or a cursor control mode in accordance with a first trajectory of the object, wherein the first trajectory of the object is expressed in accordance with the at least one smoothed coordinate; performing at least one system function in accordance with the function control mode; and moving at least one cursor in accordance with the cursor control mode.