Abstract: A method and an apparatus for constructing a three-dimensional (3D) model of an object are provided. The method includes capturing images of the object by scanning the object along a trajectory around the object, estimating positions of a scanner, which respectively correspond to the captured images, refining the estimated positions of the scanner based on at least two locations on the trajectory, estimating depth maps corresponding to the refined positions of the scanner, generating a surface mesh of the object by fusing the depth maps, and constructing and displaying the 3D model of the object by mapping textures onto the generated surface mesh.

Abstract: A system for image capturing and depth extraction includes a camera and a data processor. The camera includes: a spectrum coded aperture including at least two regions that pass spectrum channels of an incident light field which are different from each other; and a sensor configured to record the at least two spectrum channels to form an image captured in a sensor basis. The data processor is configured to convert the image captured in the sensor basis into an image of a processing basis, extract a disparity from the image of the processing basis, and convert the disparity into depth information.

Abstract: A method and an apparatus for constructing a three-dimensional (3D) model of an object are provided. The method includes capturing images of the object by scanning the object along a trajectory around the object, estimating positions of a scanner, which respectively correspond to the captured images, refining the estimated positions of the scanner based on at least two locations on the trajectory, estimating depth maps corresponding to the refined positions of the scanner, generating a surface mesh of the object by fusing the depth maps, and constructing and displaying the 3D model of the object by mapping textures onto the generated surface mesh.

Abstract: A system for image capturing and depth extraction includes a camera and a data processor. The camera includes: a spectrum coded aperture including at least two regions that pass spectrum channels of an incident light field which are different from each other; and a sensor configured to record the at least two spectrum channels to form an image captured in a sensor basis. The data processor is configured to convert the image captured in the sensor basis into an image of a processing basis, extract a disparity from the image of the processing basis, and convert the disparity into depth information.

Abstract: Provided are a method and system for extracting a target object from a background image, the method including: generating a scalar image of differences between the object image and the background, using a lightness and a color difference between the background and current video frame; initializing a mask to have a value equal to a value for a corresponding pixel of a mask of a previous video frame, where a value of the scalar image of differences for the pixel is less than a threshold, and to have a predetermined value otherwise; clustering the scalar image of differences and the depth data; filling the mask for each pixel position the current video frame, using a centroid of a cluster of the scalar image of differences and the depth data; and updating the background image on the basis of the filled mask and the scalar image of differences.