Samsung Electronics Co., Ltd.

Kyu-Min Kyung

Tae-Chan Kim

Kwang-Hyuk Bae

Seong-Yeong Jeong

Shung-Han Cho

Seongyeong Jeong

Kwanghyuk Bae

Tae Chan Kim

Seunghee Lee

Min-Sun Keel

Taechan Kim

Alexander Getman

Kwang Hyuk Bae

Bong Ki Son

Andrey Lukyanov

Shung Han Cho

Seung-Chui Shin

A time of flight (TOF) camera device and a method of operating the same is provided. The time of flight (TOF) camera device includes a pulse generator configured to generate a pulse signal, a light module configured to emit output light to at least one object in response to the pulse signal, a three-dimensional (3D) sensor configured to receive reflected light when the output light is reflected by the at least one object for a first frame, a distance calculator configured to receive an output of the 3D sensor and generate a distance data signal, and a light density control device configured to receive the distance data signal from the distance calculator and output a light density control signal. The light density control signal may adjust the size of an opening in the light module to change a projected area from the output light onto the at least one object.

TOF camera device and method of driving the same

An image capturing device includes a pixel array having a plurality of pixels arranged in a matrix form, wherein each of the pixels includes a pair of photoelectric conversion devices, an analog to digital converter that converts a pair of pixel signals corresponding to charges accumulated in the pair of photoelectric conversion devices included in each of the pixels into a pair of digital signals, and a circuit receiving the pair of digital signals being output from each of the pixels, detecting a pixel including a photoelectric conversion device outputting a saturation current based on the received pairs in the detected pixel to output a correction signal.

Image capturing device

A method is provided for analyzing motion of a subject. The method includes receiving multiple events from an event-based sensor, the events corresponding to a luminance change of the subject; calculating velocities of the events and directions of the events; generating a motion analysis table comprising an X axis classified into multiple velocity sections, a Y axis classified into multiple direction sections, and multiple cells representing frequencies of events corresponding to combinations of the velocity sections and the direction sections; and determining a motion of the subject based on the motion analysis table.

Method and system for analyzing motion of subject using event-based sensor

A time of flight (TOF) camera device and a method of driving the same are provided. The TOF camera device includes a pulse generator configured to generate a pulse signal, and generate a first photo gate signal and a second photo gate signal; a light source configured to irradiate an object with light emitted in synchronization with the pulse signal; and an image sensor configured to receive light reflected from the object in synchronization with the first photo gate signal during a first frame, and receive light reflected from the object in synchronization with the second photo gate signal during a second frame. The pulse generator is further configured to modulate the pulse signal so as to use a frequency of the light as a single frequency.

Time of flight camera device and method of driving the same

A method of unlocking an electronic device based on motion recognitions generates motion information by detecting a user's motion, calculates optical flows based on the motion information, converts the optical flows into a code by sorting and grouping the optical flows based on predetermined reference directions, generates a comparison result indicating whether the code is consistent with a predetermined password by comparing the code with the predetermined password, and determines whether to unlock the electronic device based on the comparison result.

Method of unlocking an electronic device based on motion recognitions, motion recognition unlocking system, and electronic device including the same

An image processing device capable of generating foreground object data by using a captured image includes a depth data generator configured to generate depth data of the captured image; an amplitude data generator configured to generate amplitude data of the captured image; a foreground object detector configured to perform a first detection operation for detecting the foreground object based on the generated depth data and first reference background data, and to perform a second detection operation for detecting the foreground object based on the generated amplitude data and second reference background data; and a foreground object data generator configured to generate the foreground object data based on a result of the first detection operation and a result of the second detection operation.

Image processing device for extracting foreground object and image processing method thereof

A depth camera includes a sensor unit receiving a reflected light and in response thereto outputting an electrical sensing signal; and a synchronization information calculation unit calculating a performance index with reference to the sensing signal, and with reference to the performance index, generating synchronization information for synchronizing a demodulation clock for sensing the received reflected light. The sensor unit adjusts the frequency and/or phase of the demodulation clock with reference to the synchronization information.

Depth camera, multi-depth camera system and method of synchronizing the same

An image processing system includes a calculation unit, a reconstruction unit, a confidence map estimation unit and an up-sampling unit. The up-sampling unit is configured to perform a joint bilateral up-sampling on depth information of a first input image based on a confidence map of the first input image and a second input image with respect to an object and increase a first resolution of the first input image to a second resolution to provide an output image with the second resolution.

Image processing systems for increasing resolution of three-dimensional depth data

A color filter array of an image sensor is disclosed. The color filter array includes a first filter to transmit wavelengths of a first region in a visible light region, a second filter to transmit wavelengths of a second region in the visible light region, a third filter to transmit wavelengths of a third region in the visible light region, and a mixed filter to transmit wavelengths of at least one of the first region, the second region and the third region, and wavelengths of an infrared region at the same time.

Color filter array, image sensor having the same, and image processing system having the same

A data processing apparatus having a small hardware size and performing lens correction includes a seed memory, a gain memory, and a decoder. The seed memory stores a plurality of encoded gain values forming an A*B seed matrix; the gain memory stores a plurality of decoded gain values forming an M*N grid matrix. The decoder is connected between the seed memory and the gain memory and performs vertical recursive rear polynomial (RNP) decoding before performing horizontal RNP decoding after a second time. Accordingly, the decoder may decode the M*N grid matrix from the A*B seed matrix by performing the row directional RNP decoding and the column directional RNP decoding by turns.

Data processing apparatus for operating lens correction and method for compressing and restoring lookup table values

An apparatus for performing shade correction for a lens in an image sensor includes a gain profile extractor, a common profile calculator, a gain controller calculator, and a memory device. The gain profile extractor generates a respective channel gain profile for each of a plurality of color channels from image data. The common profile calculator generates a common profile from the channel gain profiles. The gain controller calculator generates a respective gain controller for each of the plurality of color channels from the common profile and the channel gain profiles. A memory device stores the common profile and the gain controllers.

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Seoul, South Korea

Kyu-Min Kyung