Abstract: An image processing device includes a processor; and a memory which stores a plurality of instructions which, when executed by the processor, cause the processor to execute: acquiring a picked image; selecting pixels, which are adjacent to each other, to be connected based on value of the pixels in the image; generating a pixel connected area which includes the connected pixels; extracting a feature point from an outer edge of the pixel connected area; and calculating a moved amount of the feature point on the basis of the feature point of a plurality of images that have been picked at the first time and the second time by the acquiring.

Abstract: An image processing device that accesses a storage unit that stores a feature point of a recognition-target object, the device includes an obtaining unit mounted with a user and configured to obtain image data in a direction of a field of view of the user; a recognizing unit configured to recognize the recognition-target object included in the image data by extracting a feature point from the image data and associating the extracted feature point and the feature point of the recognition-target object stored in the storage unit with each other; a calculating unit configured to calculate a location change amount of the feature point corresponding to the recognition-target object recognized by the recognizing unit from a plurality of the image data obtained at different times and calculate a motion vector of the recognition-target object from the location change amount; and a determining unit configured to determine a movement.

Abstract: An orientation estimation apparatus estimates a position and an orientation of an image capturing unit based on positions of a marker on the image and in the real space when the maker is detected; and based on positions of feature points on the captured image and in the real space, and initial values of the position and the orientation of the unit when the maker is not detected. Further, the apparatus calculates a failure index from a first image acquired while the position and the orientation are estimated by the position of marker, where the failure index indicates a possibility that the detection of the marker is failed. When the failure index satisfies a shift-preparation-start reference, the initial values are set from the position and the orientation estimated by the position of the marker on the image having been acquired in a predetermined period before the first image.

Abstract: An image processing device includes, a processor; and a memory which stores a plurality of instructions, which when executed by the processor, cause the processor to execute, acquiring an image including a first region of a user; extracting a color feature quantity or an intensity gradient feature quantity from the image; detecting the first region based on the color feature quantity or the intensity gradient feature quantity; and selecting whether the detecting is detecting the first region using either the color feature quantity or the intensity gradient feature quantity, based on first information related to the speed of movement of the first region calculated from a comparison of the first regions in a plurality of images acquired at different times.

Abstract: A finger position detection device includes a processor; and a memory which stores a plurality of instructions, which when executed by the processor, cause the processor to execute, detecting a hand region that includes a plurality of fingers from an image captured by an image capturing unit that captures an image of the plurality of fingers from in front of the fingers; dividing a first region that is at least a part of the hand region into a plurality of first cells of a first size and extracting, from each of the plurality of first cells, a first feature value that represents a feature of a position of one of the plurality of fingers in a depth direction with respect to the image capturing unit; dividing a second region that is at least a part of the hand region into a plurality of second cells of a second size.

Abstract: An image processing device includes a processor; and a memory which stores a plurality of instructions, which when executed by the processor, cause the processor to execute: acquiring an image including a first object captured by an image sensor; computing, from the image, flatness information on flatness of a projection plane of the first object on which a superimposed image is displayed; and defining a display position of the superimposed image on the basis of the flatness information.

Abstract: An image processing device includes a processor; and a memory which stores a plurality of instructions which, when executed by the processor, cause the processor to execute: acquiring a picked image; selecting pixels, which are adjacent to each other, to be connected based on value of the pixels in the image; generating a pixel connected area which includes the connected pixels; extracting a feature point from an outer edge of the pixel connected area; and calculating a moved amount of the feature point on the basis of the feature point of a plurality of images that have been picked at the first time and the second time by the acquiring.

Abstract: An image processing method includes recognizing a first object that is included in the image data, calculating a positional variation amount of a feature point that corresponds to the first object and is moving in an image center direction so as to calculate a moving speed of the first object on the basis of the positional variation amount, determining whether or not the first object is a gaze target object of the user, in accordance with a behavior of the first object, the behavior being obtained on the basis of the positional variation amount of the first object among the plurality of image data, of which acquisition time is respectively different and whether or not the object continuingly exists in a second region, the second region being positioned in an inside of the first region and including a center point of the image data, for a predetermined period of time.

Abstract: A character input method to be executed by a computer, the character input method includes: acquiring a first image from an imaging device; detecting an object from the first image; specifying a character group corresponding to a first position of the object detected from the first image, based on correspondence information in which each of a plurality of character groups including a plurality of characters is associated with each of a plurality of regions set for the first image; acquiring a second image acquired from the imaging device at a time different from a time at which the first image is acquired; detecting the object from the second image; and designating one character from the specified character group, based on a second position of the object detected from the second image.

Abstract: A method for inputting a character executed by a computer that inputs a character, the method includes: obtaining a first pressed position at which the pressing operation has been performed and a first key corresponding to the first pressed position; detecting deletion of a character input using the first key; obtaining, when the deletion is detected, a second pressed position at which a next pressing operation has been performed and a second key corresponding to the second pressed position; determining whether or not a distance between the first pressed position and the second key is smaller than or equal to a threshold; and correcting, when the distance is smaller than or equal to the threshold, a range that is recognized as the second key in the region on the basis of the first pressed position.