Samsung Electronics Co., Ltd.

Korea Advanced Institute of Science and Technology

Gwangju Institute of Science and Technology

Ghent University

Kee Chang Lee

Do Kyoon Kim

Ouk Choi

Hwa Sup Lim

Seung Kyu Lee

Byong Min Kang

Yong Sun Kim

Seung Won Jung

Seong Jin Kim

Chang Yeong Kim

Chang Kyu Choi

Hyong Euk Lee

Ji Yeun Kim

Sun Kwon Kim

Sun Hyuck Chae

Dong Kyung Nam

Wonhee Lee

Chan Soo Hwang

Jae Joon Han

Fan Zhang

Markus Gross

Yong Beom Lee

Jae Woo Lee

In Woo Ha

Won Chul Bang

Min Su Ahn

Xun Sun

Maolin Chen

Albert Theuwissen

Hee Sae Lee

Jae Young Sim

Yoon Chae Cheong

Yongho Shin

Lujin Gong

Byong-Min Kang

Mario Botsch

Zhilan Hu

Jeroen Beeckman

Kuk-Jin Yoon

Jin Ho Song

Anton Sergeevich Konushin

Chen Maolin

Gael Guennebaud

Seung In Park

Robert Carnecky

Olga Barinova

Anton Anatolyevich Yakubenko

Jeong Ho Han

Yeong Won Kim

Liu Rong

Zhang Fan

In Cheol Park

Hye Yeon Shim

Vadim Sergeevich Konushin

Kee Chang Nam

Provided is a stereo matching method and apparatus. A stereo matching apparatus may generate a disparity map by transforming a disparity map of a previous frame based on determined motion information of a camera between the previous frame and the current frame, calculate a confidence for the generated disparity map, and adjust a disparity map corresponding to the current frame based on the confidence and the generated disparity map.

Stereo matching method and apparatus

An image processing apparatus and method are provided. The image processing method may generate a mask for preventing a virtual light source from being sampled on an area of a current image frame based on virtual light source information of a previous image frame, applying the mask to the current image frame, sampling the virtual light source in the current image frame to which the mask is applied, and rendering the current image frame based on the virtual light source sampled in the current image frame.

Method and apparatus for processing image

Provided is an image processing apparatus and method for detecting a transparent image from an input image. The image processing apparatus may include an image segmenting unit to segment an input image into a plurality of segments, a likelihood determining unit to determine a likelihood that a transparent object is present between adjacent segments among the plurality of segments, and an object detecting unit to detect the transparent object from the input image based on the likelihood.

Image processing apparatus and method for detecting transparent object in image

At least some example embodiments disclose a method and device for displaying a background image that may change an arrangement of an object based on image information associated with the background image and change a visual effect with respect to an adjacent region of the object.

Method and device for displaying background image

An image processing apparatus and method, which add depth information to a color pixel and add color information to a depth pixel in an image including the color pixel and the depth pixel includes a depth information determination unit to determine depth information of a current color pixel using peripheral color pixels of the current color pixel and peripheral depth pixels of the current color pixel.

Image processing apparatus and method for color-depth demosaicing

Provided is an image filtering apparatus and method that may generate a noise prediction model associated with a depth image, based on an infrared ray (IR) intensity, and thereby predict noise included in a depth image using the generated noise prediction model.

Image filtering apparatus and method based on noise prediction using infrared ray (IR) intensity

Provided is point-based efficient three-dimensional (3D) information representation from a color image that is obtained from a general Charge-Coupled Device (CCD)/Complementary Metal Oxide Semiconductor (CMOS) camera, and a depth image that is obtained from a depth camera. A 3D image processing method includes storing a depth image associated with an object as first data of a 3D data format, and storing a color image associated with the object as color image data of a 2D image format, independent of the first data.

Method and apparatus for processing three-dimensional (3D) images

An image processing apparatus is provided. The image processing apparatus determines whether a first charge quantity of charges stored in a first charge storage is greater than or equal to a predetermined saturation level, the first charge storage among a plurality of charge storages configured to store charges generated by a sensor of a depth camera. According to the determination result, when the first charge quantity is greater than or equal to the saturation level, the image processing apparatus may calculate the first charge quantity from at least one second charge quantity of charges stored in at least one second charge storage which is different from the first charge storage among the plurality of charge storages.

Image processing method and apparatus

An apparatus and method for out-focusing a color image based on a depth image, the method including receiving an input of a depth region of interest (ROI) desired to be in focus for performing out-focusing in the depth image, and applying different blur models to pixels corresponding to the depth ROI, and pixels corresponding to a region, other than the depth ROI, in the color image, thereby performing out-focusing on the depth ROI.

Image processing apparatus and method

Provided are a method and an apparatus for image processing. A scene includes a low resolution depth image and a high resolution color image. A depth image up-scaler up-scales the depth image using an interpolation so as to improve the resolution of the depth image. A color-depth similarity based filter removes noise from the up-scaled depth image using the color image and the up-scaled depth image. A boundary sharpening filter converts a boundary between objects in the up-scaled depth image into a clearer boundary. The resolution of the depth image may increase to the level of the resolution of the color image by means of the depth image up-scaler, the color-depth similarity based filter and the boundary sharpening filter, and the depth of each pixel in the depth image may be adjusted.

Method and apparatus for converting depth image in high resolution

An apparatus and method for generating a depth image using transition of light sources may include a surface information determination unit to determine surface information related to a surface of an object, using a plurality of intensity images generated according to position of light sources; and an output depth image generation unit to generate an output depth image, using an original depth image and the surface information.

Apparatus and method for generating depth image using transition of light source

An endoscope using depth information and a method for detecting a polyp based on the endoscope using the depth information are provided. The endoscope using the depth information may generate an irradiated light signal including a visible light, obtain depth information based on the irradiated light signal and a reflected light signal obtained through the irradiated light signal being reflected off of an intestine wall, generate a depth image inside the intestine wall based on the depth information, and detect a polyp located on the intestine wall based on the depth image.

Endoscope using depth information and method for detecting polyp based on endoscope using depth information

Provided is an apparatus and method for detecting body parts, the method including identifying a group of sub-images relevant to a body part in an image to be detected, assigning a reliability coefficient for the body part to the sub-images in the group of sub-images based on a basic vision feature of the sub-images and an extension feature of the sub-images to neighboring regions, and detecting a location of the body part by overlaying sub-images having reliability coefficients higher than a threshold value.

Apparatus and method for detecting body parts

Disclosed is a filter for selective transmission of visible rays and infrared rays using an electrical signal. The filter comprises: a first filter for controlling the degree of absorption of visible rays by changing the molecular arrangement in accordance with the control of the electrical signal; and a second filter for controlling the degree of reflection of infrared rays by changing reflectivity in accordance with the control of the electrical signal.

Filter for selective transmission of visible rays and infrared rays using an electrical signal

Provided are an apparatus and a method for high speed filtering of an image for high precision that may include a coordinate determining unit to determine coordinates (P,Q) on a screen with respect to a first pixel to be filtered, a pixel determining unit to determine a second pixel with coordinates including either P or Q, a block setting unit to set a first block comprising the first pixel, and a second block comprising the second pixel, and a processing unit to filter the first pixel by comparing the first block and the second block.

Apparatus and method for high speed filtering of image for high precision

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Yongin-si, South Korea

Kee Chang Lee