Abstract:
An object of the present invention is to obtain an image that is more similar to a real ink-wash painting. An ink-wash painting conversion unit converts data of an original image into data of a painterly image. A characteristic region detection unit detects a characteristic region of the original image from the data of the original image. A conversion unit executes gradation processing of gradating the characteristic region detected by the characteristic region detection unit, and margin setting processing of setting a margin region to be added to the painterly image, as image processing of further converting the data of the painterly image that was converted by the ink-wash painting conversion unit.
Abstract:
An image processing apparatus of the present invention acquires a photographed image of an object on which indicators have been arranged, detects the indicators from the photographed image with use of a comparison reference image for pattern matching prepared in advance, and instructs to perform predetermined processing based on the detected indicators. The indicators each have a pattern where influence of geometrical image distortion generated corresponding to a photographing distance or a photographing angle with respect to the object is restrained by a central portion of the photographed image, and the comparison reference image is a partial image corresponding to a central portion of the indicator. The indicators are detected from the photographed image by comparing the comparison reference image with the acquired photographed image.
Abstract:
An image searching apparatus includes: a processor; and a memory, wherein the processor is configured to attach, to an image with a first correct label attached thereto, a second correct label, the first correct label being a correct label attached to each image included in an image dataset for training for use in supervised training, the second correct label being a correct label based on a degree of similarity from a predetermined standpoint; execute main training processing to train a classifier by using the images and one of the first correct label and the second correct label, fine-tune a training state of the classifier; trained by the main training processing, by using the images and the other one of the first correct label and the second correct label; and search, by using the classifier that is fine-tuned, for images similar to a query image.
Abstract:
A drawing apparatus includes a drawing unit that forms a nail design on a nail of an object by performing a plurality of processes and a processor that extracts a feature value of the object and controls the drawing unit.The processor acquires information on a performed process with respect to the nail of one object, whose nail is provided to be formed with the nail design, based on process management information in which the feature value with respect to each of a plurality of the objects and an information on the performed process with respect to the nail of each of the plurality of the objects are registered in association with each other and the feature value with respect to the one object, and determines a specific process to be performed to the nail of the one object, and causes the drawing unit to perform the specific process.
Abstract:
An image processing apparatus of the present invention acquires a photographed image of an object on which a plurality of indicators have been arranged, recognizes an indicator in the photographed image, detects the position of the indicator, judges the state of the object based on the detected position of the indicator, and judges the state of the photographed image based on the detected positional relationship of the plurality of indicators, when the judged state of the object is a predetermined state.
Abstract:
A threshold setting device, an object detection device, a threshold setting method, and a computer readable storage medium are shown. According to one implementation, the threshold setting device includes, an image acquisition unit, a ratio acquisition unit, and a setting unit. The image acquisition unit acquires an image including a specific object. The ratio acquisition unit acquires ratio information related to a ratio of a plurality of colors present in the specific object. The setting unit sets, based on the ratio information acquired by the ratio acquisition unit, a threshold used in a binarization process performed on the image including the specific object acquired by the image acquisition unit.
Abstract:
An identification device includes an acquirer for acquiring a captured image obtained by imaging a predetermined target, a specifier for specifying a linear region extending in a plurality of mutually different directions, from a region of the captured image acquired by the acquirer, the region including the predetermined target, and an extractor for extracting a feature quantity based on the pixel value, from the linear region specified by the specifier.
Abstract:
An image searching apparatus includes: a processor; and a memory, wherein the processor is configured to attach, to an image with a first correct label attached thereto, a second correct label, the first correct label being a correct label attached to each image included in an image dataset for training for use in supervised training, the second correct label being a correct label based on a degree of similarity from a predetermined standpoint; execute main training processing to train a classifier by using the images and one of the first correct label and the second correct label, fine-tune a training state of the classifier; trained by the main training processing, by using the images and the other one of the first correct label and the second correct label; and search, by using the classifier that is fine-tuned, for images similar to a query image.
Abstract:
A drawing apparatus is provided with a drawing unit which applies a drawing on a nail of a subject which is a finger or a toe; and a control unit which controls operation of the drawing unit.The control unit extracts a first feature part in a first area which is inside area of a first subject outline of the subject in a first subject image acquired by imaging the subject after a first drawing has been applied on the nail, acquires a position of the nail in the first subject image on the basis of the first feature part and a second feature part which is extracted in a second area which is inside area of a second subject outline of a second subject image except an area of the nail, the second subject image is acquired by imaging the subject which the drawing has not been applied; and controls a drawing position of the drawing unit when the drawing unit applies a second drawing on the nail after the first subject image is acquired, on the basis of the position of the nail in the first subject image.
Abstract:
The present invention improves the recognition rate of an augmented reality marker and the processing speed thereof, simultaneously. In the present invention, a CPU binarizes actual image captured in an image sensor in accordance with an adaptive thresholding, and detects an augmented reality marker from within the binarized image. Then, the CPU determines a binarization threshold based on the augmented reality marker, and after binarizing the actual image captured in the image sensor in accordance with a fixed threshold binarization method using the binarization threshold, recognizes the augmented reality marker based on the binarized image.