Samsung Electronics Co., Ltd.

Korea Advanced Institute of Science and Technology

Young-Gu Jin

Yoon-Dong Park

Sung-hoon Lee

Won-Joo Kim

Sang-Bo Lee

Jin-Kyung Lee

Gi-Sang Lee

Kyung-Il Kim

Jin-Wuk Choi

Seung-hoon Lee

Suk-Pil Kim

Ki-ha Hong

Hyo-sug Lee

Jong-seob Kim

Min-Ho Kim

Byoung-lyong Choi

In-sung Joe

Dong-Wook Kwon

Jung-seop Kim

Dae-kil Cha

Eric R Fossum

Jai-kwang Shin

Dong-Ki Min

Dong-wook Kwon

Dae-Kil Cha

Soo-Jung Hwang

Sung-il Park

Tae-Chan Kim

Deok-kee Kim

Jae-woong Hyun

Jongseob Kim

Kwang-Soo Seol

Sungil Park

Sang-Chul Sul

Byoung-ho Cheong

Hyuk-soon Choi

Noe-jung Park

Jeong-Hoon Park

Ilia Ovsiannikov

Jung-Hoon Lee

I-hun Song

Seung-Hwan Song

Min Ho Kim

Ju-Hwan Jung

Seok-soo Lee

Kyu-Charn Park

Eun-kyung Lee

Tae-Yon Lee

Sun-tae Jung

Myung-bok Lee

Tae-Seok Oh

Dong Ki Min

Kwang-Hyun Lee

Bok-ki Min

Yoon Dong Park

Je Il Ryu

Jun-Young Kim

Won-Cheol Jung

Pil-soo Ahn

Kwang-Hee Kim

Joon-Yong Park

Hirosige Goto

Min-ho Kim

Ju Hwan Jung

Moon-seung Yang

Young-sin Park

Chang-hoon Jung

Seung-Hyuk Chang

Yong-Jei Lee

Jung-Hyung Pyo

Seok Yong Hong

Jong-Sun Lim

Dae-sung Song

Seoung-hyun Kim

Jung-hoon Shin

Kyoung-Iae Cho

Hee-Woo Park

Hiroshige Goto

Jong-heun Lee

Byong-ho Cheong

Ho-Yub Jung

Jin-kyung Lee

Jongsun Lim

Hansol Cho

Jee-soo Chang

Nam-Su Ha

Sung-II Park

Seok-Soo c/o Samsung Adv Inst Of Tech Lee

A method of recognizing motion of an object may include periodically obtaining depth data of a first resolution and two-dimensional data of a second resolution with respect to a scene using an image capturing device, wherein the second resolution is higher than the first resolution; determining a motion tracking region by recognizing a target object in the scene based on the depth data, such that the motion tracking region corresponds to a portion of a frame and the portion includes the target object; periodically obtaining tracking region data of the second resolution corresponding to the motion tracking region; and/or analyzing the motion of the target object based on the tracking region data.

Methods of and apparatuses for recognizing motion of objects, and associated systems

A method for controlling a user interface of an apparatus to enable intuitive manipulation for an object included in an image is provided. An object with deeper depth in a rear image of the apparatus may become selectable when the user holds a user input means close to the apparatus, while an object with shallower depth in the rear image may become selectable when the user draws the user input means away from the apparatus, thereby allowing the user to intuitively select an object in the rear image.

Apparatus and method for controlling user interface to select object within image and image input device

Methods, systems, and devices for guiding a subject back within the recognizable visual range of a multimedia system are described. According to one of the described methods, when it is determined that the target has left the recognizable range of the multimedia system, sensor information is acquired from a portable electronic device (or controller) the user has been using to control the multimedia system, and the acquired sensor information is used to determine where the user is, relative to the recognizable range. In one example, the user is asked to make a gesture with the portable electronic device, and the sensor information concerning that gesture is used to determine the user's relative location. In another example, the sensor information recorded at the time the user left the recognizable range is used to determine the user's relative location.

Method for guiding controller to move to within recognizable range of multimedia apparatus, the multimedia apparatus, and target tracking apparatus thereof

A mobile system may comprise a three-dimensional (3D) image sensor on a first surface of the mobile system configured to perform a first sensing to detect proximity of a subject and a second sensing to recognize a gesture of the subject by acquiring distance information for the subject; and/or a display device on the first surface of the mobile system to display results of the first sensing and the second sensing. A mobile system may comprise a light source unit; a plurality of depth pixels; and/or a plurality of color pixels. The light source unit, the plurality of depth pixels, or the plurality of color pixels may be activated based on an operation mode of the mobile system.

Mobile systems including image sensors, methods of operating image sensors, and methods of operating mobile systems

An apparatus and a method for recognizing a human body in a hybrid manner are provided. The method includes calculating body information used for recognizing a human body from an input image, detecting a region of the human body in a learning-based human body recognition manner by using the calculated body information, and tracing a movement of the detected region of the human body in a modeling-based human body recognition manner. Thereby, it is possible to quickly perform more accurate and precise recognition of the human body.

Apparatus and method for recognizing human body in hybrid manner

Disclosed are a sensing pixel and an image sensor including the same. The sensing pixel includes a determination region, which includes one or more floating body transistors, and an integration region that is adjacent to a floating body region of one of the one or more floating body transistors, absorbs light to generate an electron-hole pair including an electron and a positive hole, and transfers the electron or the positive hole to the floating body region of the one floating body transistor.

Sensing pixel and image sensor including the same

A method and an apparatus for controlling a display in order to secure an appropriate viewing distance between a digital device and a user who is viewing the digital device is provided. Accordingly, the method determines whether an object exists within a hazardous viewing distance using a 3D camera function provided in the digital device. If it is determined that an object exists within the hazardous viewing distance, the digital device detects a face or eyes from 2D images photographed by the camera. Next, the direction of the face is determined on the basis of the detected results, and it is determined whether a user is viewing a display screen of the digital device based on the determination. If it is determined that a user is viewing a display screen of a digital device, the digital device generates a warning that the user is positioned within a hazardous viewing distance.

Method and apparatus for protecting eyesight

A unit pixel includes a sensing transistor, a photo diode, and a reset drain region. The sensing transistor includes a reference active region, an output active region, and a gate. The gate is between the reference active region and the output active region to electrically connect the reference active region to the output active region based on a gate voltage. The reference active region and output active region are within a semiconductor substrate. The photo diode is under the gate within the semiconductor substrate. The reset drain region is within the semiconductor substrate and is electrically connected to the photo diode by the gate based on the gate voltage.

Unit pixel with photodiode under gate of sensing transistor and image pixel array including the same

Provided are a complementary metal-oxide semiconductor (CMOS) image sensor based on a thin-film-on-application specific integrated circuit (TFA), and a method of operating the same. The CMOS image sensor may include at least one floating diffusion region formed in a semiconductor substrate, and a thin film type light sensor disposed to correspond to a plurality of pixels. The CMOS image sensor may also include at least one via electrically connected between the light sensor and the at least one floating diffusion region. The CMOS image sensor may also include a first micro lens disposed to correspond to at least two pixels of the plurality of pixels.

CMOS image sensor based on thin-film on asic and operating method thereof

A binary complementary metal-oxide-semiconductor (CMOS) image sensor includes a pixel array and a readout circuit. The pixel array includes at least one pixel having a plurality of sub-pixels. The readout circuit is configured to quantize a pixel signal output from the pixel using a reference signal. The pixel signal corresponds to sub-pixel signals output from sub-pixels, from among the plurality of sub-pixels, activated in response to incident light.

Binary CMOS image sensors, methods of operating same, and image processing systems including same

An image sensor includes a light source that emits modulated light such as visible light, white light, or white light-emitting diode (LED) light to a target object, a plurality of pixels, and an image processing unit. The pixels include at least one pixel for outputting pixel signals according to light reflected by the target object. The image processing unit simultaneously generates a color image and a depth image from the pixel signals of the at least one pixel.

Image sensor for simultaneously obtaining color image and depth image, method of operating the image sensor, and image processing system including the image sensor

Provided is an image sensor having a depth sensor. The image sensor includes a substrate including a visible light region and a non-visible light region, a first well and a second well having a first conductivity type and in the non-visible light perception region, and a first gate and a second gate configured to receive voltages of opposite phases, respectively, and apply voltages to the first well and the second well, respectively.

Image sensors

A pixel circuit for a depth sensor operating in a detection period and an output period in either a first operating mode (high incident light intensity) or a second operating mode (low incident light intensity). The pixel circuit includes a light receiving unit generating charge in response to the incident light, a signal generation unit accumulating charge in a FDN in response to a transmission signal, reset signal and selection signal during the detection period, and generating an analog signal having a level corresponding to a voltage apparent at the FDN during the output period, and a refresh transistor coupled between a supply voltage and the light receiving unit and discharging charge to the supply voltage in response to a refresh signal.

Pixel Circuit, depth sensor having dual operating mode for high and low incident light and operating method

A high sensitivity image sensor including a pixel, the pixel including a single electron field effect transistor (SEFET), the SEFET including a first conductive type well in a second conductive type substrate, second conductive type source and drain regions in the well and a first conductive type gate region in the well between the source and the drain regions.

High sensitivity image sensors

Growing community of inventors

Hwaseong-si, South Korea

Young-Gu Jin