Abstract: Disclosed is an apparatus for generating a facial composite image, which includes: a database in which face image and partial feature image information is stored; a wireframe unit configured to apply a face wireframe to a basic face sketch image, the face wireframe applying an active weight to each intersecting point; a face composing unit configured to form a two-dimensional face model to which the wireframe is applied, by composing images selected from the database; and a model transforming unit configured to transform the two-dimensional face model according to a user input on the basis of the two-dimensional face model to which the wireframe is applied. Accordingly, a facial composite image with improved accuracy may be generated efficiently.

Abstract: Provided is a method and apparatus for inferring a facial composite, whereby user's designation regarding at least one point of a facial image is received, facial feature information are extracted based on the received user's designation, a facial type that coincides with the extracted facial feature information is searched from a facial composite database to generate a face shape model based on the searched facial type and an initial facial composite model having a facial type similar to a face of the facial image from a low-resolution facial image through which face recognition or identification cannot be accurately performed is provided, so that the face shape model contributes to criminal arrest and a low-resolution facial image captured by a surveillance camera can be more efficiently used.

Abstract: The system for indoor navigation includes a global coordinate generator for dividing an indoor space, extracting a feature point where images photographed by cameras installed at predetermined locations overlap, and generating a global coordinate of the feature point, a database for storing information about the image and global coordinate of the feature point generated by the global coordinate generator, and a mobile device for extracting a feature point from an image of a surrounding environment photographed by a camera thereof, comparing the extracted feature point with the feature point stored in the database, and estimating location and direction thereof by using a global coordinate of a coincident feature point.

Abstract: A method for automatic facial impression transformation includes extracting landmark points for elements of a target face whose facial impression is to be transformed as well as distance vectors respectively representing distances of the landmark points, comparing the distance vectors to select a learning data set similar to the target face from a database, extracting landmark points and distance vectors from the learning data set, transforming a local feature of the target face based on the landmark points of the learning data set and score data for a facial impression, and transforming a global feature of the target face based on the distance vectors of the learning data set and the score data for the facial impression. Accordingly, a facial impression may be transformed in various ways while keeping an identity of a corresponding person.

Abstract: Provided is an image recognition apparatus that identifies a person through a face of the person recognized from a photographed image, an image recognition method thereof and a face image generation method thereof. The method for recognizing a face image includes generating candidate images including at least one morphable image which is generated using an object image, extracting first features from the generated candidate images, extracting second feature from a reference image, and generating at least one score corresponding to each of the at least one morphable image by comparing the first features with the second feature, and performing matching to calculate a final score from the generated at least one score.

Abstract: Disclosed is a method for facial age simulation based on an age of each facial part and environmental factors, which includes: measuring an age of each facial part on the basis of an input face image; designating a personal environmental factor; transforming an age of each facial part by applying an age transformation model according to the age of each facial part and the environmental factor; reconstructing the image transformed for each facial part; and composing the reconstructed images to generate an age-transformed face. Accordingly, it is possible to transform a face realistically based on an age measured for each facial part and an environmental factor.

Abstract: A video deblurring method based on a layered blur model includes estimating a latent image, an object motion and a mask for each layer in each frame using images consisting of a combination of layers during an exposure time of a camera when receiving a blurred video frame, applying the estimated latent image, object motion and mask for each layer in each frame to the layered blur model to generate a blurry frame, comparing the generated blurry frame and the received blurred video frame, and outputting a final latent image based on the estimated object motion and mask for each layer in each frame, when the generated blurry frame and the received blurred video frame match. Accordingly, by modeling a blurred image as an overlap of images consisting of a combination of foreground and background during exposure, more accurate deblurring results at object boundaries can be obtained.

Abstract: The present disclosure relates to a three-dimensional montage generation system and method based on a two-dimensional single image. An embodiment of the present disclosure may generate a three-dimensional montage in an easy, fast and accurate way by using a two-dimensional front face image data, and estimate face portions, which cannot be restored by using a single photograph, in a statistic way by using a previously prepared face database. Accordingly, an embodiment of the present disclosure may generate a three-dimensional personal model from a single two-dimensional front face photograph, and depth information such as nose height, lip protrusion and eye contour may be effectively estimated by means of statistical distribution and correlation of data.

Abstract: A method for face recognition through facial expression normalization includes: fitting an input two-dimensional face image into a three-dimensional face model by using a three-dimensional face database; normalizing the three-dimensional face model into a neutral-expression three-dimensional face model by using a neutral-expression parameter learned from the three-dimensional face database; converting the neutral-expression three-dimensional face model into a neutral-expression two-dimensional face image; and recognizing the neutral-expression two-dimensional face image from a two-dimensional face database. Accordingly, face recognition may be performed with high reliability without a loss of information.

Abstract: One or more embodiments of the present invention relate to an apparatus and method for generating a cognitive avatar, and according to one or more of the above embodiments of the present invention, the process of allowing the user to select images, which are recognized as similar, from face images of various impressions which are classified as a plurality of impression groups and are stored, is repeatedly performed, and an avatar, which corresponds to the target face which the user intends to generate as the avatar, by a cognitive approach based on the repeatedly performed user's selection, so that a natural avatar, which is similar to the target face, may be expressed without a separate analysis or re-analysis process for the target face.

Abstract: An image generator is provided which obtains a specular image and a diffuse image from an image acquired by a polarized light field camera by separating two reflection components of a subject, and a control method thereof. The image generator may include a main lens, a polarizing filter part, a photosensor, a microlens array, and a controller that generates a single image in response to the electrical image signal and extracts, from the generated image, a specular image and a diffuse image that exhibit different reflection characteristics of the subject.

Abstract: Disclosed is an apparatus for generating a facial composite image, which includes: a database in which face image and partial feature image information is stored; a wireframe unit configured to apply a face wireframe to a basic face sketch image, the face wireframe applying an active weight to each intersecting point; a face composing unit configured to form a two-dimensional face model to which the wireframe is applied, by composing images selected from the database; and a model transforming unit configured to transform the two-dimensional face model according to a user input on the basis of the two-dimensional face model to which the wireframe is applied. Accordingly, a facial composite image with improved accuracy may be generated efficiently.

Abstract: Provided is an image recognition apparatus that identifies a person through a face of the person recognized from a photographed image, an image recognition method thereof and a face image generation method thereof. The method for recognizing a face image includes generating candidate images including at least one morphable image which is generated using an object image, extracting first features from the generated candidate images, extracting second feature from a reference image, and generating at least one score corresponding to each of the at least one morphable image by comparing the first features with the second feature, and performing matching to calculate a final score from the generated at least one score.

Abstract: Provided is a method and apparatus for inferring a facial composite, whereby user's designation regarding at least one point of a facial image is received, facial feature information are extracted based on the received user's designation, a facial type that coincides with the extracted facial feature information is searched from a facial composite database to generate a face shape model based on the searched facial type and an initial facial composite model having a facial type similar to a face of the facial image from a low-resolution facial image through which face recognition or identification cannot be accurately performed is provided, so that the face shape model contributes to criminal arrest and a low-resolution facial image captured by a surveillance camera can be more efficiently used.

Abstract: A method and system for reconstructing an image displayed on an electronic device connected to a network, to be a high resolution image. The method of reconstructing a selected area of the image displayed on the electronic device connected to a network, to be a high resolution image, includes: receiving a request to expand the selected area; collecting images including the selected area from the Internet; correcting the selected area to have a high resolution while expanding the selected area based on the collected images; and displaying the image expanded to have a high resolution on the electronic device.

Abstract: A method that highlights a depth-of-field (DOF) region of an image and performs additional image processing by using the DOF region. The method includes: obtaining a first pattern image and a second pattern image that are captured by emitting light according to different patterns from an illumination device; detecting a DOF region by using the first pattern image and the second pattern image; determining weights to highlight the DOF region; and generating the highlighted DOF image by applying the weights to a combined image of the first pattern image and the second pattern image.

Abstract: An image generator is provided which obtains a specular image and a diffuse image from an image acquired by a polarized light field camera by separating two reflection components of a subject, and a control method thereof. The image generator may include a main lens, a polarizing filter part, a photosensor, a microlens array, and a controller that generates a single image in response to the electrical image signal and extracts, from the generated image, a specular image and a diffuse image that exhibit different reflection characteristics of the subject.

Abstract: A method of reconstructing a three-dimensional (3D) facial shape with super resolution even from a short moving picture having a front facial image by acquiring a super-resolution facial image by applying, as a weighting factor, a per-unit-patch similarity between a target frame and frames remaining after excluding the target frame from among a plurality of continuous frames including the front facial image, and reconstructing the 3D facial shape based on the acquired super-resolution facial image.

Abstract: Provided are a method and apparatus for projecting driving information in front of a vehicle with respect to a destination. The method for projecting driving information in front of the vehicle with respect to the destination may include obtaining driving information and controlling a driving information projecting apparatus on the basis of the obtained driving information. The driving information projecting apparatus may include a driving information display unit displaying the obtained driving information and a lighting unit used as a light source 100 for the driving information display unit.

Abstract: Provided is an apparatus for recognizing a location of a moving object in real time. The apparatus includes a lighting portion including a lighting unit for emitting a plurality of optical signals spatially separated in different patterns; an electronic tattoo portion that is attached on the moving object, wherein the electronic tattoo portion includes at least one electronic tattoo unit including a solar cell for detecting each of the plurality of optical signals emitted from the lighting portion, a wireless antenna for wirelessly transmitting the plurality of optical signals detected by the solar cell, and a controller for controlling the transmission of the plurality of optical signals; and a location recognition portion for recognizing the location of the moving object from the plurality of optical signals wirelessly transmitted from the electronic tattoo portion.