Abstract: 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.

Abstract: A time of flight (ToF) sensor comprises a light source configured to irradiate light on a subject, a sensing unit comprising a sensing pixel array configured to sense light reflected from the subject and to generate a distance data signal, and a control unit comprising a view angle control circuit. The view angle control circuit is configured to detect movement of the subject based on the distance data signal received from the sensing unit and to control a view angle of the sensing unit to increase a number of sensing pixels in the sensing pixel array that are used to sense a region in which the detected movement occurs.

Abstract: An apparatus for generating depth information includes a sensing unit and a final depth providing unit. The sensing unit is configured to sense light received from multiple subjects, and to provide initial depth data having distance information about the subjects and two-dimensional (2D) image data having 2D image information about an image obtained from the subjects. The final depth providing unit is configured to generate estimated depth data having estimated distance information about the subjects by transforming the 2D image data into three-dimensional (3D) data, and to provide final depth data based on the initial depth data and the estimated depth data.

Abstract: A three-dimensional image sensor may include a light source module configured to emit at least one light to an object, a sensing circuit configured to polarize a received light that represents the at least one light reflected from the object and configured to convert the polarized light to electrical signals, and a control unit configured to control the light source module and sensing circuit. A camera may include a receiving lens; a sensor module configured to generate depth data, the depth data including depth information of objects based on a received light from the objects; an engine unit configured to generate a depth map of the objects based on the depth data, configured to segment the objects in the depth map, and configured to generate a control signal for controlling the receiving lens based on the segmented objects; and a motor unit configured to control focusing of the receiving lens.

Abstract: 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.

Abstract: A three-dimensional (3D) image signal processing method increases signal-to-noise ratio by performing pixel binning on depth information obtained by a 3D image sensor, without changing a filter array detecting the depth information. The processing method may be used in a 3D image signal processor, and a 3D image processing system including the 3D image signal processor.

Abstract: 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.

Abstract: A biometric authentication system and apparatus are provided. The system includes an image capture device, a processor and an authentication unit. The image capture device generates first and second biometric data of a user based on reflected infrared light reflected from an object. The processor processes the first and second biometric data to generate first and second feature data. The first feature data is associated with the first biometric data, and the second feature data is associated with the second biometric data. The authentication unit performs authentication of the user based on at least one of the first feature data and the second feature data.

Abstract: 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.

Abstract: 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.

Abstract: A data processing apparatus having a small hardware size and performing tens 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.

Abstract: 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.