Abstract:
According to the present invention, a real-time image stabilization method for imaging system including an image sensor, and a motion sensor capable of generating pitch information and yaw information comprising angle values comprises the steps of: segmenting the entire area of an image into a quadrant and previously setting four or more unit search areas including at least one of the quadrant; receiving an image from the image sensor in every frame; receiving, from the motion sensor, a motion sensor signal including at least pitch information and yaw information in every frame; selecting one of four or more unit search areas as a reduced search area, based on unit motion vector consisting of the vertical components of the pitch information and the horizontal components of the yaw information, in every frame; operating motion vector in the selected reduced search area with respect to an image of a current frame and an image of a previous frame, in every frame; and displacing the image of the current frame in a reverse direction of the motion vector operated in every frame to create an image for which the motion of a camera is compensated. [Reference numerals] (AA) Start; (BB) End; (S31) Segment the entire area of an image into a quadrant and previously set four or more unit search areas including at least one of the quadrant; (S32) Receive image signals from an image sensor; (S33) Receive, from a motion sensor, a motion sensor signal including pitch information and yaw information; (S34) Synchronize the image signals with the pitch information and the yaw information; (S35) Select one of four or more unit search areas as a reduced search area, based on unit motion vector consisting of the vertical components of the pitch information and the horizontal components of the yaw information; (S36) Operate compensated motion vector in the selected reduced search area with respect to an image of a current frame and an image of a previous frame; (S37) Displace and rotate the image according to the operated compensated motion vector
Abstract:
PURPOSE: A convergence angle control device of a stereoscopic imaging device is provided to control a convergence angle by focusing on a desired object according to a visual fatigue level (VFL) value with only a simple operation within short time after taking an image with a stereoscopic camera. CONSTITUTION: A depth region obtaining part (400) generates a disparity map by using disparity information extracted from an image processing part (300) and generates a first depth map by using the disparity map. A segmentation part (450) converts the generated first depth map into a histogram and generates a second depth map by using the histogram. A VFL obtaining part (500) calculates a VFL value for each object from the second depth map. An automatic convergence angle control part (600) automatically controls a convergence angle by focusing on an object having the highest VFL value among the calculated VFL values. [Reference numerals] (101) Left camera; (102) Right camera; (200) Image obtaining part; (300) Image processing part; (400) Depth region obtaining part; (450) Segmentation; (500) VFL obtaining part; (600) Automatic convergence angle control part (Apply a VFL value); (700) Semiautomatic convergence angle control part; (800) User input; (850) Display part
Abstract:
PURPOSE: A disparity map generating method is provided to reduce the memory bandwidth necessary for loading an image by reducing a search range for stereo matching. CONSTITUTION: A stereoscopic image is inputted(S1). A low-resolution reduction image for the segmented stereoscopic image is generated(S2-1). A histogram for the low-resolution reduction image is generated(S2-2). An ESR(Effective Search Range) is determined by using the histogram(S2-3). A disparity map is generated by using the ESR(S3). [Reference numerals] (S1) Step of inputting a stereoscopic image; (S2) Step of dividing the stereoscopic image, and determining an effective search range(ESR) used for Hamming distance computation for each segmented stereoscopic image; (S2-1) Step of generating a low resolution reduction image about the segmented stereoscopic image; (S2-2) Step of generating a histogram about the low resolution reduction image; (S2-3) Step of determining the ESR by using the histogram; (S3) Step of generating a disparity map by using the ESR
Abstract:
PURPOSE: A wireless power supply device using a UWB and MIMO antenna and a battery controlling method thereof are provided to stably transmit data and prevent interference between wireless signal antennas by controlling the charging of a battery according to the requirement of data transmission. CONSTITUTION: A wireless signal receiver(110) receives a UWB wireless signal and a plurality of MIMO antennas. A battery unit(160) stores power from the wireless signal receiver. A signal converter(120) extracts a data signal from a wireless signal received by the wireless signal receiver. A controller(140) controls the battery unit or signal converter according to the operation of the wireless terminal and the information of the battery unit. [Reference numerals] (100) Wireless power supply device using a UWB and MIMO antenna; (110) Wireless signal receiver; (120) Signal converter; (130) DC converter; (140) Controller; (150) Remaining amount measuring unit; (160) Battery unit; (170) Display unit
Abstract:
PURPOSE: A method for simulating processor power and a system thereof are provided to prefabricate power consumption about each instruction executed in a processor as look up table, thereby rapidly calculating power consumption about a specific code composed of the instruction. CONSTITUTION: A lookup table unit(120) stores power consumption of an instruction executed in a target processor(110). A code inputting unit(130) receives a target code executed in the target processor. A code power measuring unit(140) measures power consumption about the target code inputted in the code inputting unit by using power consumption information about the instruction stored in the lookup table unit. An optimal code detecting unit detects a minimum power consumption code by comparing power consumption between the target codes when the target codes executing the same function are inputted.