Abstract: A method and a system for generating a 3D image of a character through steps of: receiving an identifier of a template and a two-dimensional (2D) image of the character generated based on the template corresponding to a type of the character; acquiring template information of the template from a template library by using the identifier, and extracting an effective parameter for machine learning to be performed to generate the 3D image based on the template information and the 2D image; and generating the 3D image of the character by performing the machine learning based on the effective parameter and the template information are provided.

Abstract: An input sensing unit may include the following elements: a first sensing electrode including first sensors and a first connector coupling the first sensors; a second sensing electrode including second sensors and a second connector coupling the second sensors; a first sensing line including first sensing line parts and a third connector coupling the first sensing line parts; a second sensing line; and an insulating layer including a first insulating side and a second insulating side opposite the first insulating side. The first sensing line parts may overlap the first sensors and may be disposed on the first insulating side. The second sensing line may overlap the second sensors and may be disposed on the first insulating side. The first sensors may be disposed on the second insulating side. The second sensors may be disposed on the second insulating side.

Abstract: Disclosed herein are an apparatus and method for generating a 3D model. The apparatus for generating a 3D model includes one or more processors, and an execution memory for storing at least one program that is executed by the one or more processors, wherein the at least one program is configured to receive two-dimensional (2D) original image layers for respective viewpoints, and generate pieces of 2D original image information for respective objects by performing original image alignment on the 2D original image layers for respective viewpoints for each predefined object type, generate 3D model layers for respective objects from the pieces of 2D original image information for respective objects using multiple learning models corresponding to the predefined object types, and generate a 3D model by synthesizing the 3D model layers for respective objects.

Abstract: Disclosed herein are an apparatus and method for guiding multi-view capture. The apparatus for guiding multi-view capture includes one or more processors and an execution memory for storing at least one program that is executed by the one or more processors, wherein the at least one program is configured to receive a single-view two-dimensional (2D) image obtained by capturing an image of an object of interest through a camera, generate an orthographic projection image and a perspective projection image for the object of interest from the single-view 2D image using an image conversion parameter that is previously learned from multi-view 2D images for the object of interest, generate a 3D silhouette model for the object of interest using the orthographic projection image and the perspective projection image, and output the 3D silhouette model and a guidance interface for the 3D silhouette model.

Abstract: A touch sensor for a display device includes: a base layer including first and second sensing regions adjacent to each other in a first direction and a non-sensing region surrounding at least one side of each of the first and second sensing regions; first sensors disposed in each of the first and second sensing regions, the first sensors being arranged along a second direction intersecting the first direction, the first sensors being electrically connected to each other along the second direction; second sensors disposed in each of the first and second sensing regions, the second sensors being arranged along the first direction, the second sensors being electrically connected to each other along the first direction; and at least one third sensor located in the first sensing region and the second sensing region, wherein the at least one third sensor includes first and second sub-sensors electrically separated at a boundary between the first sensing region and the second sensing region, and the first and second

Abstract: Disclosed is an herbicidal composition containing: a pyrimidinedione-based compound as an active ingredient; and an efficacy enhancer. The herbicidal composition can increase biological effect expression characteristics of the pyrimidinedione-based composition as a contact herbicide, improve fast-acting property on monocot weeds as well as broadleaf weeds through enhanced spreading ability and penetrating power, and effectively control, at a low dose, even resistant weeds showing resistance to other herbicides. Furthermore, the herbicidal composition retains thermodynamic stability to increase storage stability, and can exhibit uniform and excellent efficacy at the time of chemical treatment through the uniform dispersion of the active ingredient.

Abstract: A camera auxiliary device for privacy protection and a privacy protection method using the camera auxiliary device. The camera auxiliary device for privacy protection includes a processor for splitting an input light beam that is reflected from a capturing target into a first input beam for detecting a privacy protection area and a second input beam to be transferred to a camera connected to a user terminal, detecting a privacy protection area in an image signal generated based on the first input beam, and converting the second input beam and then transferring a converted second input beam to the camera so that personal information included in the privacy protection area is not visually identified, and a memory for storing the image signal and the privacy protection area.

Abstract: Disclosed herein are a learning-based three-dimensional (3D) model creation apparatus and method. A method for operating a learning-based 3D model creation apparatus includes generating multi-view feature images using supervised learning, creating a three-dimensional (3D) mesh model using a point cloud corresponding to the multi-view feature images and a feature image representing internal shape information, generating a texture map by projecting the 3D mesh model into three viewpoint images that are input, and creating a 3D model using the texture map.

Abstract: A display device includes a display panel and a first sensor configured to sense a position of a touch of a user and a second sensor configured to sense a pressure of the touch. The first sensor and the second sensor may be provided inside or surrounding an area of the display panel. The second sensor includes a first conductor, a second conductor spaced apart from the first conductor, and configured to form capacitance with the first conductor, and one or more variable resistance elements connected with the first conductor.

Abstract: A display device including a touch sensor is disclosed. In one aspect, the display device includes a lower substrate and an upper substrate opposing each other and a first electrode, an electro-optical active layer, and a second electrode sequentially formed over the lower substrate. The display device also includes a plurality of touch electrodes formed below the upper substrate and over the second electrode and a shield layer interposed between the second electrode and the touch electrodes. The shield layer is formed at least partially of a conductive material.

Abstract: A method and a system for generating a 3D image of a character through steps of: receiving an identifier of a template and a two-dimensional (2D) image of the character generated based on the template corresponding to a type of the character; acquiring template information of the template from a template library by using the identifier, and extracting an effective parameter for machine learning to be performed to generate the 3D image based on the template information and the 2D image; and generating the 3D image of the character by performing the machine learning based on the effective parameter and the template information are provided.

Abstract: An input sensing unit may include the following elements: a first sensing electrode including first sensors and a first connector coupling the first sensors; a second sensing electrode including second sensors and a second connector coupling the second sensors; a first sensing line including first sensing line parts and a third connector coupling the first sensing line parts; a second sensing line; and an insulating layer including a first insulating side and a second insulating side opposite the first insulating side. The first sensing line parts may overlap the first sensors and may be disposed on the first insulating side. The second sensing line may overlap the second sensors and may be disposed on the first insulating side. The first sensors may be disposed on the second insulating side. The second sensors may be disposed on the second insulating side.

Abstract: Disclosed herein are an apparatus and method for generating a training data set for machine learning. The method for generating a training data set, performed by the apparatus for generating the training data set for machine learning, includes generating a 3D model for a deformed 3D character based on 3D data pertaining to the 3D character, generating a 2D image corresponding to the 3D model, and generating the training data set for machine learning, through which the 3D character is generated from the 2D image, using the 2D image and the 3D model.

Abstract: A display device is described including a display panel for displaying an image and an input sensing unit disposed on the display panel for sensing a user input. The input sensing unit includes: an electrode unit including first electrodes and second electrodes which intersect each other and a control unit for determining the proximity of an object or the shape of the object, based on capacitance change values of the first electrodes and the second electrodes. In a first mode the input sensing unit is driven using a self-capacitance method. The control unit may merge the capacitance change values, and determine the proximity of the object based on the merged value. In a second mode based on mutual capacitance, the control unit may determine the shape of the object.

Abstract: A touch sensing display device including a first substrate with a display unit, a second substrate disposed on the first substrate, a window cover disposed on the second substrate, and a touch force sensor. The touch force sensor includes a first electrode disposed between the first substrate and the second substrate or on a bottom surface of the first substrate, and a second electrode disposed under the first substrate.

Abstract: A composition for solar cell electrodes and a solar cell electrode fabricated using the composition, the composition including a conductive powder; a glass frit; an organic vehicle; and a surface tension modifier, wherein the surface tension modifier has a surface tension of about 40 mN/m to about 65 mN/m, and the composition has a thixotropic index (TI) of about 3 to about 10 as represented by Equation 1: TI=(viscosity at 10 rpm/viscosity at 100 rpm),??[Equation 1] in Equation 1, the thixotropic index is calculated using viscosity values of the composition measured at 10 rpm and 100 rpm and at 23° C. with a No. 14 Spindle using a rotary viscometer.

Abstract: Disclosed is a touch sensor, including: first sensing patterns extended in a first direction and arranged in a second direction crossing the first direction, in which each of the first sensing patterns includes: first variable resistive patterns arranged in the first direction; and first conductive patterns connecting the first variable resistive patterns, and lengths of the first variable resistive patterns in the first direction are increased in the second direction.

Abstract: A composition for forming an electrode includes a conductive powder, a glass frit, an organic vehicle, and a burn-out retardant. The burn-out retardant exhibits a residual carbon of greater than or equal to about 1 wt % at a temperature of about 600° C. based on the initial amount of 100 wt % and an exothermic peak at about 200° C. to about 500° C.

Abstract: A composition for solar cell electrodes includes silver powder, a glass frit, and an organic vehicle. The glass frit includes a first glass frit and a second glass frit. The first glass frit includes tellurium (Te) and silver (Ag) in a molar ratio (Te:Ag) of about 75:1 to about 1:25. The second glass frit includes a lead-tellurium-oxide (Pb—Te—O)-based glass frit or a bismuth-tellurium-oxide (Bi—Te—O)-based glass frit and is free from silver (Ag).

Abstract: The present invention relates to a herbicidal composition comprising, as active ingredients, a herbicidally active compound and an uracil compound or an agrochemically acceptable salt thereof. The herbicidal composition has excellent effects not only on selective control of monocotyledonous or dicotyledonous weeds in useful crop plants, but also on control of monocotyledonous or dicotyledonous weeds in semi-selective or non-selective areas.