Abstract: A method of increasing a photographing speed of a photographing device which capture an image through a combination of two or more photographing devices and generate and provide an image by using the captured image, thereby increasing a photographing speed. An RGB image obtaining device and a depth image obtaining device alternately perform photographing to obtain an image. Also, a second depth image and a second RGB image respectively corresponding to a first RGB image and a first depth image which are alternately obtained by performing alternate photographing are synthesized and output, thereby actually increasing a photographing speed by twice.

Abstract: An apparatus and method for analyzing a golf motion. The apparatus includes acquiring, by an image sensor of a camera unit, a 2D image of motion of a user, acquiring, by a depth sensor of the camera unit, a depth image to temporally alternate with acquisition of the 2D image, the depth image including depth values of pixels in the 2D image, increasing an image-capturing speed by generating a corresponding depth image or a corresponding 2D image, which corresponds to a reference 2D image or a reference depth image acquired at a predetermined time, outputting the reference 2D image and the corresponding depth image or the reference depth image and the corresponding 2D image as output data for motion analysis, extracting skeletal information of the user through analysis of output data, and displaying motion of the user on a display unit based on skeletal information.

Abstract: A user customized training system according to the present invention includes a sensor module configured to sense a user's motion; a memory in which a program for training is stored; and a processor configured to execute the program stored in the memory, wherein, when the program is executed, the processor acquires coordinates that correspond to the sensed motion, compares the user's motion with pre-stored erroneous motions on the basis of body information generated on the basis of the coordinates, provides a pre-stored set of motion data when a result of the comparison indicates that the user's motion corresponds to an erroneous motion, and, when the sensor module senses a motion of the user corresponding to the set of motion data, provides a training set corresponding to a result of analyzing the sensed motion.

Abstract: An apparatus and a method for providing a surveillance image based on a depth image. The apparatus according to the present invention includes: a first camera capturing a depth image for a subject in a predetermined capturing region; a second camera capturing a color image for the subject in the predetermined capturing region; a subject identification unit identifying a subject in the capturing region; an image processing unit extracting the color image corresponding to a region of the identified subject from the color image and synthesizing the extracted color image with a position corresponding to the depth image to generate a synthesized image; and a control unit providing the depth image when the subject is not identified by the subject identification unit and providing the synthesized image only when the subject is identified by the subject identification unit.

Abstract: An apparatus and method for analyzing a golf motion. The apparatus includes acquiring, by an image sensor of a camera unit, a 2D image of motion of a user, acquiring, by a depth sensor of the camera unit, a depth image to temporally alternate with acquisition of the 2D image, the depth image including depth values of pixels in the 2D image, increasing an image-capturing speed by generating a corresponding depth image or a corresponding 2D image, which corresponds to a reference 2D image or a reference depth image acquired at a predetermined time, outputting the reference 2D image and the corresponding depth image or the reference depth image and the corresponding 2D image as output data for motion analysis, extracting skeletal information of the user through analysis of output data, and displaying motion of the user on a display unit based on skeletal information.

Abstract: A method of increasing a photographing speed of a photographing device which capture an image through a combination of two or more photographing devices and generate and provide an image by using the captured image, thereby increasing a photographing speed. An RGB image obtaining device and a depth image obtaining device alternately perform photographing to obtain an image. Also, a second depth image and a second RGB image respectively corresponding to a first RGB image and a first depth image which are alternately obtained by performing alternate photographing are synthesized and output, thereby actually increasing a photographing speed by twice.

Abstract: A hand motion recognizing apparatus obtains an image with first resolution including a hand and an image with second resolution higher than the first resolution including the hand, maps the image with the first resolution and the image with the second resolution, extracts a hand position from the image with the first resolution, obtains a hand region corresponding to the hand position from the image with the second resolution mapped to the image with the first resolution, and subsequently estimates a hand motion from the hand region.

Abstract: A hand motion recognizing apparatus obtains an image with first resolution including a hand and an image with second resolution higher than the first resolution including the hand, maps the image with the first resolution and the image with the second resolution, extracts a hand position from the image with the first resolution, obtains a hand region corresponding to the hand position from the image with the second resolution mapped to the image with the first resolution, and subsequently estimates a hand motion from the hand region.

Abstract: Provided is a gesture processing method for continuous value input. The gesture processing method includes acquiring a gesture input, extracting a moving direction of a pointing means interoperating with the gesture input, extracting a direction change angle of the pointing means, when the pointing means is moved after the moving direction and the direction change angle are extracted, extracting a relative position indicating a continuous movement amount of the pointing means, matching the extracted relative position with a continuous value of a control item, combining the moving direction of the pointing means, the direction change angle of the pointing means, and the relative position to control setting of the control item, and executing a control instruction for the control item.

Abstract: There are provided a device for providing haptic feedback based on user gesture recognition and a method of operating the same. The device includes a detection unit configured to detect a gesture performed by a user, a recognition unit configured to process detection information in which the user's gesture is detected by the detection unit and recognize a specific gesture performed by the user, and a control unit configured to determine whether haptic feedback information is output in consideration of the user's specific gesture recognized by the recognition unit, deliver the haptic feedback information output according to the determination result to at least one external device of a mobile terminal and a speaker, and provide haptic feedback to the user.

Abstract: A three-dimensional (3D) display apparatus and method controlling thereof are provided. The 3D display apparatus includes: a reception unit which receives a 3D image signal from another 3D display apparatus; a conversion unit which converts a disparity of the 3D image signal based on transmitter information of the other 3D display apparatus and receiver information of the 3D display apparatus, and generates an output 3D image signal having depth information which is proportional to depth information of the 3D image signal; and a display unit which outputs the output 3D image signal.

Abstract: A three-dimensional (3D) display apparatus and method controlling thereof are provided. The 3D display apparatus includes: a reception unit which receives a 3D image signal from another 3D display apparatus; a conversion unit which converts a disparity of the 3D image signal based on transmitter information of the other 3D display apparatus and receiver information of the 3D display apparatus, and generates an output 3D image signal having depth information which is proportional to depth information of the 3D image signal; and a display unit which outputs the output 3D image signal.

Abstract: An image processing method is provided. The image processing method includes: shifting an object displayed in a reference image according to depth information; determining a stretching area of a variable size by using an energy value of a background area of the shifted object; and inserting a pixel of the stretching area into a hole area generated by shifting the object to generate a target image. This results in prevention of the phenomenon of image quality deterioration.

Abstract: A method estimates a 3D pose of a 3D specular object in an environment. In a preprocessing step, a set of pairs of 2D reference images are generated using a 3D model of the object, and a set of poses of the object, wherein each pair of reference images is associated with one of the poses. Then, a pair of 2D input images are acquired of the object. A rough 3D pose of the object is estimated by comparing features in the pair of 2D input images and the features in each pair of 2D reference images using a rough cost function. The rough estimate is optionally refined using a fine cost function.

Abstract: A method estimates a 3D pose of a 3D specular object in an environment. In a preprocessing step, a set of pairs of 2D reference images are generated using a 3D model of the object, and a set of poses of the object, wherein each pair of reference images is associated with one of the poses. Then, a pair of 2D input images are acquired of the object. A rough 3D pose of the object is estimated by comparing features in the pair of 2D input images and the features in each pair of 2D reference images using a rough cost function. The rough estimate is refined using a fine cost function.

Abstract: A three-dimensional (3D) display apparatus and method controlling thereof are provided. The 3D display apparatus includes: a reception unit which receives a 3D image signal from another 3D display apparatus; a conversion unit which converts a disparity of the 3D image signal based on transmitter information of the other 3D display apparatus and receiver information of the 3D display apparatus, and generates an output 3D image signal having depth information which is proportional to depth information of the 3D image signal; and a display unit which outputs the output 3D image signal.

Abstract: A method for converting an image in an image conversion apparatus is provided. The method includes receiving a stereo image, down-scaling the stereo image, performing stereo-matching by applying adaptive weight to the down-scaled stereo images, generating a depth map according to the stereo-matching, up-scaling the depth map by referring to an input image of original resolution, and generating a plurality of multi-view images by performing depth-image-based rendering with respect to the up-scaled depth map and the input image of original resolution. Accordingly, a plurality of multi-view images may be obtained with ease.

Abstract: A method estimates a 3D pose of a 3D specular object in an environment. In a preprocessing step, a set of pairs of 2D reference images are generated using a 3D model of the object, and a set of poses of the object, wherein each pair of reference images is associated with one of the poses. Then, a pair of 2D input images are acquired of the object. A rough 3D pose of the object is estimated by comparing features in the pair of 2D input images and the features in each pair of 2D reference images using a rough cost function. The rough estimate is optionally refined using a fine cost function.

Abstract: A method estimates a 3D pose of a 3D specular object in an environment. In a preprocessing step, a set of pairs of 2D reference images are generated using a 3D model of the object, and a set of poses of the object, wherein each pair of reference images is associated with one of the poses. Then, a pair of 2D input images are acquired of the object. A rough 3D pose of the object is estimated by comparing features in the pair of 2D input images and the features in each pair of 2D reference images using a rough cost function. The rough estimate is refined using a fine cost function.