Abstract: A display device includes a substrate including a display area including pixels and a non-display area around the display area and including a pad area, and a circuit board attached to the pad area. Pad electrodes arranged along a first direction and a first alignment mark located at a side of the pad electrodes in the first direction and protruding more than the pad electrodes are disposed on the substrate in the pad area. The circuit board includes a base portion, and lead electrodes disposed on the base portion and respectively facing the pad electrodes. A first alignment mark hole is defined through the base portion at a side of the lead electrodes in the first direction, the first alignment mark and the first alignment mark hole have a same shape as each other, and the first alignment mark is accommodated in the first alignment mark hole.

Abstract: An estimator training method and a pose estimating method using a depth image are disclosed, in which the estimator training method may train an estimator configured to estimate a pose of an object, based on an association between synthetic data and real data, and the pose estimating method may estimate the pose of the object using the trained estimator.

Abstract: An estimator training method and a pose estimating method using a depth image are disclosed, in which the estimator training method may train an estimator configured to estimate a pose of an object, based on an association between synthetic data and real data, and the pose estimating method may estimate the pose of the object using the trained estimator.

Abstract: An active attentional sampling technology for accelerating background subtraction from input videos, more specifically, an active attentional sampling technology for accelerating background subtraction by removing background region from the input video and then applying foreground probability map and sampling mask according to temporal property, spatial property and frequency property of the input video in favor of the pixel-wise background subtraction algorithm is provided. The background subtraction is accomplished by generating active attentional sampling mask for input video and then processing each frame of the input video only for regions corresponding to the sampling mask, which renders the background subtraction be much accelerated. That is, the present invention successfully speeds up pixel-wise background subtraction methods approximately 6.6 times without deteriorating detection performance.

Abstract: An active attentional sampling technology for accelerating background subtraction from input videos, more specifically, an active attentional sampling technology for accelerating background subtraction by removing background region from the input video and then applying foreground probability map and sampling mask according to temporal property, spatial property and frequency property of the input video in favor of the pixel-wise background subtraction algorithm is provided. The background subtraction is accomplished by generating active attentional sampling mask for input video and then processing each frame of the input video only for regions corresponding to the sampling mask, which renders the background subtraction be much accelerated. That is, the present invention successfully speeds up pixel-wise background subtraction methods approximately 6.6 times without deteriorating detection performance.

Abstract: An estimator training method and a pose estimating method using a depth image are disclosed, in which the estimator training method may train an estimator configured to estimate a pose of an object, based on an association between synthetic data and real data, and the pose estimating method may estimate the pose of the object using the trained estimator.

Abstract: An estimator training method and a pose estimating method using a depth image are disclosed, in which the estimator training method may train an estimator configured to estimate a pose of an object, based on an association between synthetic data and real data, and the pose estimating method may estimate the pose of the object using the trained estimator.

Abstract: A hand-shake correction apparatus and method for a camera module for typical use in a mobile device. A camera unit includes an angular velocity sensor for sensing an angular velocity of a hand-shake motion of a camera, a position detection sensor for detecting a current position of an image sensor, and an actuator for actuating the image sensor. An Optical Image Stabilizer (OIS) circuit unit controls the actuator using a multi-rate Proportional Integrate Derivative (PID) control scheme that performs control a plurality of times using a shorter control period compared with existing PID controls for a basic period, in which a reference value is updated according to a control reference value by which the image sensor optimally shifts to correct a hand-shake motion.

Abstract: A PID controlling apparatus and method for providing a control value to a control object according to the difference between an output value of the control object and a target value are provided, in which an error calculator outputs an error value between the target value and the output value of the control object, a PID operator calculates a proportional value, an integral value, and a derivative value of the error value, calculates the control value using the proportional value, the integral value, and the derivative value, and outputs the control value to the control object, a first sampler samples the output value of the control object a plurality of times with respect to the target value and outputs a sampled output value, and a controller controls the PID operator to repeat a PID operation and output the control value according to a sampling period of the first sampler.

Abstract: A hand-shake correction apparatus and method for a camera module for typical use in a mobile device. A camera unit includes an angular velocity sensor for sensing an angular velocity of a hand-shake motion of a camera, a position detection sensor for detecting a current position of an image sensor, and an actuator for actuating the image sensor. An Optical Image Stabilizer (OIS) circuit unit controls the actuator using a multi-rate Proportional Integrate Derivative (PID) control scheme that performs control a plurality of times using a shorter control period compared with existing PID controls for a basic period, in which a reference value is updated according to a control reference value by which the image sensor optimally shifts to correct a hand-shake motion.