Abstract: A control point setting method, that uses a control point setting apparatus including a storage unit that stores motion information of a plurality of motion reference points set in a region of a moving subject model included in a reference image, includes: specifying positional information related to respective positions of the plurality of motion reference points in the region of the moving subject model based on model skeleton information related to a skeleton of the moving subject model; obtaining a subject image including a subject region; and setting a plurality of motion control points related to motion control for the subject region at respective positions individually corresponding to the plurality of motion reference points in the subject region based on subject skeleton information related to the skeleton of the subject of the subject image obtained in the obtaining and on the positional information specified in the specifying.

Abstract: An image creation method includes: obtaining a two-dimensional still image; first setting motion control points related to motion control for a subject in a subject region of the obtained still image, the subject region including the subject; second setting overlap control points related to overlap control for constituent regions composing the subject region, at respective positions corresponding to the overlap reference points; calculating a position in the depth direction of each constituent region for each predetermined time interval based on the reference position of the overlap reference point corresponding to each overlap control point; and creating a deformed image by deforming the subject region according to motions of the motion control points, and the creating includes displacing the respective constituent regions in the subject region in the depth direction at positions different from one another for each predetermined time interval based on the position calculated by the calculating.

Abstract: In three-dimensional modeling apparatus, an image obtaining section obtains image sets picked up by stereoscopic camera. A generating section generates three-dimensional models. A three-dimensional model selecting section selects a first three-dimensional model and a second three-dimensional model to be superimposed on the first three-dimensional model among generated three-dimensional models. A extracting section extracts first and second feature points from the selected first and second three-dimensional model. A feature-point selecting section selects feature points having a closer distance to stereoscopic camera from the extracted first and second feature points. A parameter obtaining section obtains a transformation parameter for transforming a coordinate of the second three-dimensional model into a coordinate system of the first three-dimensional model. A transforming section transforms the coordinate of the second three-dimensional model into the coordinate system of the first three-dimensional model.

Abstract: A moving image generating method, a moving image generating apparatus and a storage medium for generating a moving image from a still image. According to one application, a moving image generating method uses a moving image generating apparatus which stores in advance a plurality of pieces of movement information showing movements of a plurality of movable points. The method includes, an obtaining step which obtains a still image; a setting step which sets a plurality of movement control points in the still image; a frame image generating step which moves the plurality of control points based on movements of movement information and deforms the still image to generate a plurality of frame images; and a moving image generating step which generates a moving image from a plurality of frames.

Abstract: A three-dimensional modeling unit creates a three-dimensional model from a pair of images stored in a keyframe storage in every several frame periods. A feature point detection unit detects feature points in images stored in the keyframe storage. Then, a positional change estimate unit estimates positional change of the detected feature points in a latest image and calculates conversion parameters for converting the created three-dimensional model to a three-dimensional model corresponding to the latest image based on the estimation results. Then, a reconstruction unit reconstructs the created three-dimensional model using the calculated conversion parameters and a image output unit outputs it to a display device on a frame period basis.

Abstract: When a feature point extractor sets feature points on one of the images acquired by a first and second image acquirer, a template setting unit sets a base template containing a feature point onto an edge-extracted image of the acquired image. If the image within the base template is segmented by an edge, the template setting unit sets a transformed template, wherein a segmented sub-region that does not contain the feature point is deleted from the base template, and a region equal in area to the deleted region is added to the sub-region that does contain the feature point. A distance computing unit conducts template matching with respect to the one or more other images using either the base template or the transformed template, and computes the shooting distance to the matching feature point.

Abstract: Disclosed is an image processing apparatus including: an obtaining section which obtains a subject exiting image in which a subject and a background exist; a first specification section which specifies a plurality of image regions in the subject existing image; a comparison section which compares a representative color of each of the image regions with a predetermined color; a generation section which generates an extraction-use background color based on a comparison result of the comparison section; and a second specification section which specifies a subject constituent region constituting the subject and a background constituent region constituting the background in the subject existing image based on the extraction-use background color.

Abstract: A three-dimensional model creation system stores view information and camera information for cameras with which each client is provided, in a server for each client. Furthermore, when a three-dimensional model is created from a captured pair of images, each client sends the pair images to the server, and the server creates a three-dimensional model on the basis of camera information stored in advance and the received pair images.

Abstract: A server sends to a client a message instructing movement of a display apparatus so that cameras comprising a view for creating a three-dimensional model can shoot a screen of a display apparatus. After movement is complete, the server causes an imaging parameter computation pattern image to be displayed on the screen of the display apparatus and instructs the client to cause the displayed pattern image to be shot by cameras. The server acquires images shot by the cameras from the client and seeks imaging parameters of the cameras on the basis of the pattern image included in the acquired images.

Abstract: The utility of a service using AR is improved. The information display apparatus which applies an information display according to augmented reality (AR) acquires a reference image for matching with a subject in a captured image and scale information which shows a scale of the subject in the reference image from an information provision apparatus. Then, an inputter-outputter of the information display apparatus displays the captured image as well as a distribution of the reference images by a scale of the subject. On this distribution display, a guide display according to the scale of the subject in the captured image is performed. This guide display moves on the distribution display corresponding to a change of an angle of view. Accordingly, it is easily set the angle of view by which the matching using the acquired reference image can be performed appropriately, and the convenience improves.

Abstract: The matching processor acquires the key information such as position information and/or the like by the key information acquirer, and notifies to an external apparatus via the communicator. The matching processor stores the acquired key information in the storer corresponding to the identification information which is acquired from the external apparatus. When the acquired identification information does not exist in a AR data management table, the matching processor acquires the AR data by notifying the identification information to the external apparatus. When there is no empty record in a key information management table, key information of which usage date and time is old is considered as a deletion target. Moreover, when there is no empty record in the AR data management table, the AR data of which usage date and time is old is considered as the deletion target.

Abstract: A generating unit generates a 3D model of an object based on pair images obtained for the same object. An extracting unit extracts plural first feature points from a to-be-synthesis 3D model and plural second feature points from a synthesis 3D model. An obtaining unit obtains a coordinate conversion parameter based on the plural first feature points and second feature points. A converting unit converts a coordinate of the synthesis 3D model in a coordinate in the coordinate system of the to-be-synthesis 3D model using the coordinate conversion parameter. A synthesizing unit synthesizes all converted synthesis 3D models with the to-be-synthesis 3D model, and unifies feature points. A storing unit stores the synthesized 3D model of the object and information on the unified feature points in a memory card, etc. The stored data is used in an AR process.

Abstract: An imaging apparatus generates a 3D model using a photographed image of a subject and generates a 3D image based on the 3D model. When a corresponding point corresponding to a point forming the 3D model does not form a 3D model generated using a photographed image photographed at a different photographing position, the imaging apparatus determines that the point is noise, and removes the point determined as noise from the 3D model. The imaging apparatus generates a 3D image based on the 3D model from which the point determined as noise is removed.

Abstract: The distance between two points specified on an object is measured. The imaging part acquires a pair of images having parallax in one imaging operation on one and the same object. The display part displays a display image based on at least one image of the pair of images acquired. The reception part receives a start point and an end point specified on the object in the display image. The distance acquisition part calculates the positions in a real space of the start and end points specified on the object based on one pair or multiple pairs of images and acquires the distance between the start and end points on the object based on the calculated start and end point positions in the real space.

Abstract: A 3D modeling apparatus includes: a generator configured to generate 3D models of a subject based on pairs of images; a selector configured to select a first 3D model and a second 3D model from the 3D models, wherein the second 3D model is to be superimposed on the first 3D model; an extracting unit configured to extract first feature points from the first 3D model and extract second feature points from the second 3D model; an acquiring unit configured to acquire coordinate transformation parameters based on the first and second feature points; a transformation unit configured to transform coordinates of the second 3D model into coordinates in a coordinate system of the first 3D model, based on the coordinate transformation parameters; and a combining unit configured to superimpose the second 3D model having the transformed coordinates on the first 3D model.

Abstract: A 3D modeling apparatus includes: an accepting unit configured to accept sets of images; a generator configured to generate 3D models of a subject based on the sets of images; a selector configured to select first and second 3D models from the 3D models, wherein the second 3D model is to be superimposed on the first 3D model; a divider configured to divide the second 3D model into second regions; a specifying unit configured to specify first regions in the first 3D model, wherein each of the first regions corresponds to one of the second regions; an acquiring unit configured to acquire coordinate transformation parameters; a transformation unit configured to transform coordinates of the second regions based on the coordinate transformation parameters; and an updating unit configured to superimpose the second regions having the transformed coordinates on the first regions to update the first 3D model.

Abstract: An image pickup control unit displays either one of a picked-up image by a first image pickup unit and a picked-up image by a second image pickup unit on a display unit as a finder image. A feature detecting unit calculates a distribution of brightness values or brightness dispersion for each of the picked-up images by the first and second image pickup units, thereby detecting features of the two picked-up images. A sameness determining unit determines the sameness between both picked-up images based on the detected features, and determines that an abnormality like the unexpected appearance of an obstacle is present when the feature largely differs. When it is determined that an abnormality is present, a warning processing unit simultaneously displays both picked-up images on the display unit, or displays the picked-up image including the abnormality on the display unit as a finder image.

Abstract: There is provided an image capture apparatus.

Abstract: A control part 210 sets up an exposure condition under which the bright part of the object is properly exposed and an exposure condition under which the dark part of the object is properly exposed. The control part 210 controls the first and second imaging part 110 and 120 to capture images with the set exposures, whereby a pair of images captured with different exposures is obtained. The control part 210 extracts corresponding points that are characteristic points corresponding between the image pairs. The control part 210 optimizes the extracted corresponding points based on the density of corresponding points between the images constituting an image pair captured with the same exposure and based on the pixel value of the corresponding points between the images captured with different exposures. The control part 210 creates 3D modeling data using the optimized corresponding points.

Abstract: An imaging apparatus includes: a first imaging controller configured to control imaging by an imaging unit; a movement distance acquirer configured to acquire movement distance of the imaging unit required to generate a three-dimensional image of the imaged subject after imaging by the first imaging controller; a first determining unit configured to determine whether or not the imaging unit has moved the movement distance acquired by the movement distance acquirer; a second imaging controller configured to control imaging with respect to the imaging unit in the case where it is determined by the first determining unit that the imaging unit has moved the movement distance; and a three-dimensional image generator configured to generate a three-dimensional image from the image acquired by the first imaging controller and the image acquired by the second imaging controller.