A apparatus for generating a depth map includes a cube space setting unit configured to set cube space based on camera intrinsic parameters; a layer generating unit configured to extract objects from a planar image and generate a layer including each object; a layer editing unit configured to apply at least one of parallel translation and rotation in a depth direction for the layer based on at least one of translation input and rotation input; and a model projecting unit configured to place a model on the layer, set a depth value for a model area placed on an object area included in the layer as a depth value of the object and generate a depth map comprising the depth value corresponding to each layer.

One or more stereoscopic images are generated based on a single monoscopic image that may be obtained from a camera sensor. Each stereoscopic image includes a first digital image and a second digital image that, when viewed using any suitable stereoscopic viewing technique, result in a user or software program receiving a three-dimensional effect with respect to the elements included in the stereoscopic images. The monoscopic image may depict a geographic setting of a particular geographic location and the resulting stereoscopic image may provide a three-dimensional (3D) rendering of the geographic setting Use of the stereoscopic image helps a system obtain more accurate detection and ranging capabilities. The stereoscopic image may be any configuration of the first digital image (monoscopic) and the second digital image (monoscopic) that together may generate a 3D effect as perceived by a viewer or software program.

A method for automatic registration of 3D image data, captured by a 3D image capture system having an RGB camera and a depth camera, includes capturing 2D image data with the RGB camera at a first pose; capturing depth data with the depth camera at the first pose; performing an initial registration of the RGB camera to the depth camera; capturing 2D image data with the RGB camera at a second pose; capturing depth data at the second pose; and calculating an updated registration of the RGB camera to the depth camera.

A method for automatic registration of 3D image data, captured by a 3D image capture system having an RGB camera and a depth camera, includes capturing 2D image data with the RGB camera at a first pose; capturing depth data with the depth camera at the first pose; performing an initial registration of the RGB camera to the depth camera; capturing 2D image data with the RGB camera at a second pose; capturing depth data at the second pose; and calculating an updated registration of the RGB camera to the depth camera.

There is provided an imaging element that photographs multiple viewing point images corresponding to images observed from different viewing points and an image processing unit separates an output signal of the imaging element, acquires the plurality of viewing point images corresponding to the images observed from the different viewing points, and generates a left eye image and a right eye image for three-dimensional image display, on the basis of the plurality of acquired viewing point images. The image processing unit generates parallax information on the basis of the plurality of viewing point images obtained from the imaging element and generates a left eye image and a right eye image for three-dimensional image display by 2D3D conversion processing using the generated parallax information. By this configuration, a plurality of viewing point images are acquired on the basis of one photographed image and images for three-dimensional image display are generated.

Disclosed are an apparatus and a method for generating an image for generation of a 3D panorama image. A method for generating a 3D panorama image in an image generating apparatus comprises the steps of: receiving an input of a plurality of 2D images and a plurality of depth maps corresponding to the plurality of 2D images; setting a left-eye image area and a right-eye image area for each of the plurality of 2D images on the basis of the plurality of depth maps; and synthesizing images of each of the left-eye image areas that are set in the plurality of 2D images to thereby generate a left-eye panorama image and synthesizing images of each of the right-eye image areas that are set in the plurality of 2D images to thereby generate a right-eye panorama image. Accordingly, the image generating apparatus can generate a 3D panorama image without distortion on the basis of a plurality of 2D images.

An apparatus and a method for displaying an image on a portable image device are provided. The method includes receiving a first input indicative of an input associated with an application, generating a first image object in a buffer of the portable image device, storing the first image object in a memory of the portable image device, generating a first image using the first image object stored in the memory of the portable image device, and displaying the first image on an image display device of the portable image device

An information processing apparatus and method provide logic for processing information. In one implementation, a computer-implemented method includes receiving spatial positions associated with a plurality of images. The method determines displacements of the images in opposing first and second horizontal directions, based on at least the spatial positions. The method then generates, using a processor, first and second composites of the images, based on the determined displacements.

Techniques are described for converting a 2D map into a 3D mesh. The 2D map of the environment is generated using data captured by a 2D scanner. Further, a set of features is identified from a subset of panoramic images of the environment that are captured by a camera. Further, the panoramic images from the subset are aligned with the 2D map using the features that are extracted. Further, 3D coordinates of the features are determined using 2D coordinates from the 2D map and a third coordinate based on a pose of the camera. The 3D mesh is generated using the 3D coordinates of the features.

Techniques are described for converting a 2D map into a 3D mesh. The 2D map of the environment is generated using data captured by a 2D scanner. Further, a set of features is identified from a subset of panoramic images of the environment that are captured by a camera. Further, the panoramic images from the subset are aligned with the 2D map using the features that are extracted. Further, 3D coordinates of the features are determined using 2D coordinates from the 2D map and a third coordinate based on a pose of the camera. The 3D mesh is generated using the 3D coordinates of the features.