Abstract: A medium composition for porcine pluripotent stem cells, containing bFGF, activin A, CHIR99021 and IWR-1 is disclosed. The composition is prepared from specific ingredients, excluding non-specific ingredients, thereby facilitating quality control, and thus is suitable for the study of porcine pluripotent stem cells. Also disclosed is a method for culturing, maintaining and preserving porcine pluripotent stem cells having the ability to form teratomas, by using the composition.

Abstract: A wave receiving plate is pivotably supported by a support device in the wave force generation system and includes a flexible plate in at least a part of the wave receiving plate.

Abstract: An image processing apparatus, includes an image classifier configured to determine whether an input image is a low-quality image or a high-quality image; and an image evaluator configured to determine a first predetermined number of clearest images from a plurality of low-quality images determined by the image classifier.

Abstract: The disclosure in the specification relates to an artificial recombinant chromosome and the use thereof, and more particularly to an artificial recombinant chromosome generated by the recombination of two or more chromosomes and a production of a transgenic animal using a cell including the same. Especially, in the disclosure in the specification, an interchromosomal exchange between the recipient chromosome and the donor chromosome has many merits to produce the artificial recombinant chromosome for producing the transgenic animal.

Abstract: Disclosed is a face verification method and apparatus. The method including analyzing a current frame of a verification image, determining a current frame state score of the verification image indicating whether the current frame is in a state predetermined as being appropriate for verification, determining whether the current frame state score satisfies a predetermined validity condition, and selectively, based on a result of the determining of whether the current frame state score satisfies the predetermined validity condition, extracting a feature from the current frame and performing verification by comparing a determined similarity between the extracted feature and a registered feature to a set verification threshold.

Abstract: Disclosed is a face verification method and apparatus. The method including analyzing a current frame of a verification image, determining a current frame state score of the verification image indicating whether the current frame is in a state predetermined as being appropriate for verification, determining whether the current frame state score satisfies a predetermined validity condition, and selectively, based on a result of the determining of whether the current frame state score satisfies the predetermined validity condition, extracting a feature from the current frame and performing verification by comparing a determined similarity between the extracted feature and a registered feature to a set verification threshold.

Abstract: A processor implemented method of processing a facial expression image, the method includes controlling a camera to capture a first facial expression image and a second facial expression image, acquiring a first expression feature of the first facial expression image, acquiring a second expression feature of the second facial expression image, generating a new expression feature dependent on differences between the acquired first expression feature and the acquired second expression feature, and adjusting a target facial expression image based on the new expression feature.

Abstract: An object recognition apparatus and method are provided. The apparatus includes a processor configured to verify a target image using an object model and based on reference intermediate data extracted by a partial layer of the object model as used in an object recognition of an input image, in response to a failure of a verification of the input image after a success of the object recognition of the input image, and perform an additional verification of the target image in response to the target image being verified in the verifying of the target image.

Abstract: A method and apparatus with an adaptively updated enrollment database (DB) are provided. A method with an adaptively updated enrollment database (DB) includes extracting an input feature vector from an input image, determining whether the input feature vector is included in a changeable enrollment range, with the changeable enrollment range being determined based on a threshold distance from each of plural enrolled feature vectors in the enrollment DB, and with the enrolled feature vectors corresponding to enrolled images, determining whether to enroll the input feature vector in the enrollment DB in response to the input feature vector being determined as being included in the changeable enrollment range, and in response to a result of the determining of whether to enroll the input feature vector being to enroll the input feature vector, selectively enrolling the input feature vector in the enrollment DB.

Abstract: A wave power generation system includes a wave receiving member, ram cylinder hydraulic pump device, change value sensor, accumulator device, hydraulic motor, power generator, and controller. The member is arranged near a virtual reflection surface that reflects a coming incident wave. The controller sets a torque command used when the generator generates electric power. Based on a differential value of a change value detected by the sensor and changes in accordance with a swing amount of the member, the controller determines whether the member is swinging toward a first or second side in a swing direction. When the controller determines the member is swinging toward the second side by receiving force of a reflected wave reflected by the virtual reflection surface, the controller changes the torque command from the command set when the controller determines the member is swinging toward the first side by receiving force of the incident wave.

Abstract: A gaze tracking method and apparatus, and a gaze tracking neural network training method and apparatus are provided. The gaze tracking apparatus includes one or more processors and a memory, and the one or more processors obtain output position information from an input face image of a user using a neural network model, determines a position adjustment parameter for the user, and predicts gaze position information of the user by adjusting the output position information based on the position adjustment parameter.

Abstract: A display device according to an embodiment includes a substrate having a display area, and a peripheral area outside the display area including a first peripheral area adjacent to the display area, a first bending area extending from the first peripheral area, and a second peripheral area extending from the first bending area, and overlapping the first peripheral area, a display member at the display area, and including a first display area, and a second display area around the first display area, and a plurality of align keys on the substrate, wherein the first peripheral area includes a flat peripheral area corresponding to an area between the first display area and the first bending area, and a second bending area between the second display area and an end of the substrate, and wherein the plurality of align keys include a first align key at the flat peripheral area, and a second align key at the second peripheral area.

Abstract: The disclosure in the specification relates to an artificial recombinant chromosome and the use thereof, and more particularly to an artificial recombinant chromosome generated by the recombination of two or more chromosomes and a production of a transgenic animal using a cell including the same. Especially, in the disclosure in the specification, an interchromosomal exchange between the recipient chromosome and the donor chromosome has many merits to produce the artificial recombinant chromosome for producing the transgenic animal.

Abstract: A display device is provided. The display device comprising: a display area; a non-display area on an outer side of the display area; a data line unit comprising a plurality of data lines; a power line unit disposed over the plurality of data lines and comprising a plurality of power lines; and a touch line unit disposed over the power line unit, comprising a plurality of touch lines and comprising a fan-out portion, wherein the touch line unit comprises, in the fan-out portion, a plurality of first sub-touch line units extended toward one side in a first direction, and a plurality of second sub-touch line units extended toward an opposite side in the first direction, wherein a number of lines of the first sub-touch line units is equal to a number of lines of the second sub-touch line units, and wherein the touch line unit comprises a portion where the touch line unit overlaps with the power line unit.

Abstract: A facial verification method includes separating a query face image into color channel images of different color channels, obtaining a multi-color channel target face image with a reduced shading of the query face image based on a smoothed image and a gradient image of each of the color channel images, extracting a face feature from the multi-color channel target face image, and determining whether face verification is successful based on the extracted face feature.

Abstract: Disclosed is a face verification method and apparatus. The method including analyzing a current frame of a verification image, determining a current frame state score of the verification image indicating whether the current frame is in a state predetermined as being appropriate for verification, determining whether the current frame state score satisfies a predetermined validity condition, and selectively, based on a result of the determining of whether the current frame state score satisfies the predetermined validity condition, extracting a feature from the current frame and performing verification by comparing a determined similarity between the extracted feature and a registered feature to a set verification threshold.

Abstract: A processor-implemented method includes obtaining an input image including a face of a user, extracting a feature from the input image, estimating a facial expression of the input image and an expressiveness of the facial expression of the input image corresponding to a determined expression intensity of the facial expression based on the extracted feature, normalizing the expressiveness of the facial expression of the input image to a universal expressiveness, and recognizing the facial expression based on the universal expressiveness.

Abstract: A liveness test method and apparatus is disclosed. A processor implemented liveness test method includes extracting an interest region of an object from a portion of the object in an input image, performing a liveness test on the object using a neural network model-based liveness test model, the liveness test model using image information of the interest region as provided first input image information to the liveness test model and determining liveness based at least on extracted texture information from the information of the interest region by the liveness test model, and indicating a result of the liveness test.

Abstract: A wave receiving mechanism includes: a shaft driving a hydraulic pump; and a wave receiving member including an arm and wave receiving plate, the arm unrotatably attached to the shaft, the plate being at the arm receiving a wave force, the wave receiving member swinging about the shaft by receiving the wave force and turning the shaft turn. The arm includes first and second arm portions, and a bendable portion, the first arm portion unrotatably attached to the shaft, the second arm portion being at the plate, the bendable portion coupling the first and second arm portions. When a swing angle of the first arm portion is less than a first predetermined angle, the bendable portion makes the arm portions swing integrally. When the swing angle of the first arm portion is the predetermined angle, the bendable portion allows the second arm portion to bend relative to the first.

Abstract: An object recognition apparatus, a classification tree learning apparatus, an operation method of the object recognition apparatus, and an operation method of the classification tree learning apparatus are provided. The object recognition apparatus may include an input unit to receive, as an input, a depth image representing an object to be analyzed, and a processing unit to recognize a visible object part and a hidden object part of the object, from the depth image, using a classification tree.