Abstract: An image capturing method, a panorama image generating method and an electronic apparatus are provided in this disclosure. The image capturing method includes steps of: calculating feature points within a first image shot by the electronic apparatus; calculating a maximal rotation angle of the electronic apparatus rotating along a direction according to a distribution of the feature points within the first image; and, shooting a second image automatically when the electronic apparatus has been rotated through the maximal rotation angle along the direction.

Abstract: An image processing method includes generating, by a processing component, a first input feature map based on an input image using a first convolutional neural network; generating, by the processing component, a first template feature map based on a template image using the first convolutional neural network; generating, by the processing component, a first estimated motion parameter based on an initial motion parameter, the first input feature map and the first template feature map using an iterative Lucas-Kanade network; and performing, by the processing component, image alignment between the input image and the template image based on the first estimated motion parameter.

Abstract: The disclosure provides a method, an electronic apparatus, and a computer readable medium of constructing a classifier for disease detection. The method includes the following steps. A codebook of representative features is constructed based on a plurality of disease-irrelevant data. Transfer-learned disease features are extracted from disease-relevant bio-signals according to the codebook without any medical domain knowledge, where both the disease-irrelevant data and the disease-relevant bio-signals are time-series data. Supervised learning is performed based on the transfer-learned disease features to train the classifier for disease detection.

Abstract: In some implementations, an applicator includes a container and an insert disposed in the container. The insert may include a flange extending radially outwardly from an elongate post, and a porous tip covering the flange. A passageway is provided to convey, via material comprising the porous tip, a substance contained in the container to an external surface of the porous tip for application.

Abstract: A medical system includes an interaction interface and an analysis engine. The interaction interface is configured for receiving an initial symptom. The analysis engine is communicated with the interaction interface. The analysis engine includes a prediction module. The prediction module is configured for generating symptom inquiries to be displayed on the interaction interface according to a prediction model and the initial symptom. The interaction interface is configured for receiving responses corresponding to the symptom inquiries. The prediction module is configured to generate a result prediction according to the prediction model, the initial symptom and the responses.

Abstract: A method includes acquiring a plurality of training images through a capturing component, acquiring a plurality of training camera poses of the capturing component corresponding to the training images through a pose sensor disposed corresponding to the capturing component, and training a camera pose estimation model according to the training images and the training camera poses of the capturing component.

Abstract: A method is described that includes identifying a set of features of an object, the features being tracked in an image captured by a camera. The method also includes creating a field of vectors for the reference points. The vectors indicate magnitude and direction of change in position of the reference points across more than one frame of the image. The method further includes identifying existence of out of plane movement of the object's features from same radial orientation of the vectors. The method further includes determining an amount of closer/farther movement of the object's features to/from the camera from change in distances between a plurality of the reference points. The method further includes adjusting a position of camera's lens in view of the amount of closer/farther movement of the object's features to keep the camera focused on the object.

Abstract: A method is described that includes loading an array of content into a two-dimensional shift register. The two-dimensional shift register is coupled to an execution lane array. The method includes repeatedly performing a first sequence that includes: shifting with the shift register first content residing along a particular row or column into another parallel row or column where second content resides and performing mathematical operations with a particular corresponding row or column of the execution lane array on the first and second content. The method also includes repeatedly performing a second sequence that includes: shifting with the shift register content from a set of first locations along a resultant row or column that is parallel with the rows or columns of the first sequence into a corresponding set of second locations along the resultant row or column. The resultant row or column has values determined at least in part from the mathematical operations of the first sequence.

Abstract: A method is described that includes loading an array of content into a two-dimensional shift register. The two-dimensional shift register is coupled to an execution lane array. The method includes repeatedly performing a first sequence including: shifting with the shift register first content residing along a particular row or column into another parallel row or column where second content resides and performing operations with a particular corresponding row or column of the execution lane array on the first and second content. The method also includes repeatedly performing a second sequence including: shifting with the shift register content from a set of first locations along a resultant row or column that is parallel with the rows or columns of the first sequence into a corresponding set of second locations along the resultant row or column. The resultant row or column has values determined from the operations of the first sequence.

Abstract: A method is described that includes identifying a set of features of an object, the features being tracked in an image captured by a camera. The method also includes creating a field of vectors for the reference points. The vectors indicate magnitude and direction of change in position of the reference points across more than one frame of the image. The method further includes identifying existence of out of plane movement of the object's features from same radial orientation of the vectors. The method further includes determining an amount of closer/farther movement of the object's features to/from the camera from change in distances between a plurality of the reference points. The method further includes adjusting a position of camera's lens in view of the amount of closer/farther movement of the object's features to keep the camera focused on the object.

Abstract: A method of making an absorbent composite that includes a first fabric, a second fabric, and particles positioned between the two fabrics and absorbent articles made from the absorbent composite. The particles are secured between the two fabric using adhesive, thermal plastic or combinations thereof. The fabrics are bonded together in a manner that limits particle movement between the fabrics. The bond pattern may define pockets or other shapes. In applications in which the bond pattern forms pockets, the particles may be positioned in the pockets. The particles may be SAP particles or other particles with advantageous properties.

Abstract: A method of making an absorbent composite that includes a first fabric, a second fabric, and particles positioned between the two fabrics and absorbent articles made from the absorbent composite. The particles are secured between the two fabric using adhesive, thermal plastic or combinations thereof. The fabrics are bonded together in a manner that limits particle movement between the fabrics. The bond pattern may define pockets or other shapes. In applications in which the bond pattern forms pockets, the particles may be positioned in the pockets. The particles may be SAP particles or other particles with advantageous properties.

Abstract: An apparatus is described. The apparatus includes an image processing unit. The image processing unit includes a plurality of stencil processor circuits each comprising an array of execution unit lanes coupled to a two-dimensional shift register array structure to simultaneously process multiple overlapping stencils through execution of program code. The image processing unit includes a plurality of sheet generators respectively coupled between the plurality of stencil processors and the network. The sheet generators are to parse input line groups of image data into input sheets of image data for processing by the stencil processors, and, to form output line groups of image data from output sheets of image data received from the stencil processors. The image processing unit includes a plurality of line buffer units coupled to the network to pass line groups in a direction from producing stencil processors to consuming stencil processors to implement an overall program flow.

Abstract: The disclosure provides a method, an electronic apparatus, and a computer readable medium of constructing a classifier for skin-infection detection. The method includes the following steps. A codebook of representative features is constructed based on a plurality of target-disease-irrelevant images. Transfer-learned disease features are extracted from target-disease images according to the codebook without any medical domain knowledge, where the target-disease images are captured by at least one image capturing device. Supervised learning is performed based on the transfer-learned target-disease features to train the classifier for skin-infection detection.

Abstract: A controlling method suitable for an electronic apparatus is disclosed herein. The electronic apparatus includes a first image-capturing unit and a second image-capturing unit. The controlling method includes steps of: obtaining a plurality of second images by the second image-capturing unit when the first image-capturing unit is operated to capture a plurality of first images for a stereo process; detecting an object in the second images; calculating a relative displacement of the object in the second images; and, determining whether the first images are captured by an inappropriate gesture according to the relative displacement calculated from the second images.

Abstract: A MEMS type sensor is used for measuring a particular parameter on an IC chip within an electronic device, such as music player, a smart cellular telephone, etc. The parameter may be a scalar parameter, such as a directional orientation indicative a current compass point, or a multidimensional vector parameter, such as a three-dimensional acceleration. The sensor output is recalibrated using stored coefficients when ambient conditions vary. The stored coefficients may be modified during calibration.

Abstract: The disclosure provides a method, an electronic apparatus, and a computer readable medium of constructing a classifier for skin-infection detection. The method includes the following steps. A codebook of representative features is constructed based on a plurality of target-disease-irrelevant images. Transfer-learned disease features are extracted from target-disease images according to the codebook without any medical domain knowledge, where the target-disease images are captured by at least one image capturing device. Supervised learning is performed based on the transfer-learned target-disease features to train the classifier for skin-infection detection.

Abstract: A method of making an absorbent composite that includes a first fabric, a second fabric, and particles positioned between the two fabrics and absorbent articles made from the absorbent composite. The particles are secured between the two fabric using adhesive, thermal plastic or combinations thereof. The fabrics are bonded together in a manner that limits particle movement between the fabrics. The bond pattern may define pockets or other shapes. In applications in which the bond pattern forms pockets, the particles may be positioned in the pockets. The particles may be SAP particles or other particles with advantageous properties.

Abstract: The disclosure provides a method, an electronic apparatus, and a computer readable medium of constructing a classifier for disease detection. The method includes the following steps. A codebook of representative features is constructed based on a plurality of disease-irrelevant data. Transfer-learned disease features are extracted from disease-relevant bio-signals according to the codebook without any medical domain knowledge, where both the disease-irrelevant data and the disease-relevant bio-signals are time-series data. Supervised learning is performed based on the transfer-learned disease features to train the classifier for disease detection.

Abstract: A communicative connection method among multiple devices is disclosed herein. The communicative connection method includes steps of: sensing a motion pattern on each of the devices; broadcasting the motion pattern on each of the devices; comparing the motion patterns from the devices; and, forming a first wireless communicative connection among a group of at least two devices sharing one common motion pattern.