Abstract:
A stereo matching system comprising a face detection unit configured to detect a face area using either one of a reference image and a target image provided thereto to extract information about the detected face area and a support window setting unit configured to compare between the information about the detected face area by the face detection unit and a preset value to set the size of support window.
Abstract:
Disclosed are a system and method for performing distortion correction and calibration using a pattern projected by a projector. The system for performing distortion correction and calibration includes a projector that projects a pattern, at least one camera that generates a photographed pattern image by photographing an image onto which the pattern is projected, and an image processing device that calculates a calibration parameter by comparing an original pattern image projected by the projector and the photographed pattern image. Thus, it is possible to obtain an accurate depth image by easily utilizing an image for the pattern projected by the projector. In addition, when obtaining the depth image, the calibration parameter for correcting image distortion according to camera lens and a calibration state of cameras may be efficiently obtained using the pattern projected by the projector.
Abstract:
An active stereo matching method includes extracting a pattern from a stereo image, generating a depth map through a stereo matching using the extracted pattern, calculating an aggregated cost for a corresponding disparity using a window kernel generated using the extracted pattern and a cost volume generated for the stereo image, and generating a disparity map using the depth map and the aggregated cost.
Abstract:
There are provided a stereo matching method capable of increasing a resolution and precision of an object and a device for performing the method. The method includes investigating a pattern according to a predetermined period; obtaining left and right stereo images in which the investigated pattern is included or not included; determining whether each of the stereo image obtained according to the predetermined period and a buffering image that is a previous frame image of the stereo image includes the pattern; and generating a final cost volume by performing different image processing according to whether each of the stereo image and the buffering image includes the pattern. Therefore, it is possible to increase precision of a disparity of a thin object and increase accuracy and precision of an object at a long distance.
Abstract:
An apparatus includes a noise removal block for removing image noise mixed with an input image, a Modified Census Transform (MCT) block for transforming the input image from which the image noise has been removed into a current MCT coefficient, a candidate pattern extraction block for calculating a Sum of Hamming Distance (SHD) value between a current pattern window of the transformed current MCT coefficient and a reference pattern window of a previously registered template image by performing SHD calculation on the two pattern windows and extracting a candidate pattern, and a pattern detection block for scaling down the input image in a predetermined ratio when all pixels of the current scale are processed and detecting a candidate pattern having a minimum SHD value, of stored candidate patterns, as a representative pattern.