Abstract:
The method for extracting salient object from stereoscopic video includes: dividing regions based on the similarity of color and the distance between pixels in a left-eye image and a right-eye image which are used for an input stereoscopic image; creating a disparity map based on a disparity obtained from a pixel difference of the left-eye image and the right-eye image; calculating a contrast-based saliency by comparing the divided regions and the divided regions of the disparity map; calculating a prior-knowledge-based saliency based on a prior-knowledge for the divided regions and the divided regions of the disparity map; and extracting salient regions of the image based on the contrast-based saliency and the prior-knowledge-based saliency.
Abstract:
The invention relates to a stereovision optometry apparatus comprising: a 3D display unit for displaying 3D image; a reference 2D display unit for displaying reference 2D image; an eyepiece in opposite side of the 2D display unit configured to view the images; a reflective mirror in opposite side of the 3D display unit configured to move toward and away from the 3D display unit; and a half mirror arranged between the 3D display and the reflective mirror and disposed at a point where propagation paths of the 2D image and the 3D image intersect; wherein the 2D image penetrates through the half mirror to reach the eyepiece; wherein the 3D image penetrates the half mirror to be reflected on the reflective mirror and then the reflected image is reflected on the half mirror to reach the eyepiece.
Abstract:
The invention relates to a method for measuring recognition warping with respect to a three-dimensional (3D) image. The method according to the invention comprises: (a) a step of selecting any one from a plurality of 3D parameters for a scale for recognizing a 3D image in a 3D manner; (b) a step of displaying a test stereoscopic image corresponding to the selected 3D parameter on a screen; (c) a step of displaying, on a screen, a plurality of sample images obtained by varying the value of the selected 3D parameter for the test stereoscopic image; (d) a step of selecting at least one of the plurality of sample images; and (e) a step of performing the steps (b) to (d) at least two times on different test stereoscopic images, and measuring a 3D recognition scale for the selected 3D parameter based on the sample image selected in the step (d). Therefore, it is possible to measure whether a viewer distortedly recognizes a 3D image or the degree to which a viewer recognizes the 3D image three-dimensionally in connection with the 3D parameter such as the size of the 3D image, the depth of the 3D image, etc. by means of the 3D recognition ability of each viewer.