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