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Akira Nakamura
Akira Nakamura, Kanagawa JP
| Patent application number | Description | Published |
|---|---|---|
| 20080205764 | Information processing apparatus, method, and program - An information processing apparatus that compares an input image with a model image to identify the subject of the input image with the subject of the model image. The apparatus includes feature value extraction means for setting feature points, each of which is on an edge of the model image and provided to extract a model image feature value, which is the feature value of the model image, and extracting the model image feature value from each of a plurality of feature value extraction areas in the neighborhood of each of the feature points, and matching means for checking if an input image feature value, which is the feature value of the input image, at the point that is on an edge of the input image and corresponds to the feature point matches any of the plurality of model image feature values at the feature point. | 08-28-2008 |
| 20090041340 | Image Processing System, Learning Device and Method, and Program - The present invention relates to an image processing system, a learning device and method, and a program which enable easy extraction of feature amounts to be used in a recognition process. Feature points are extracted from a learning-use model image, feature amounts are extracted based on the feature points, and the feature amounts are registered in a learning-use model dictionary registration section | 02-12-2009 |
| 20090103814 | Information Processing Apparatus, Information Processing Method, and Program - An information processing apparatus that compares a query image and a model image and provides support information for discriminating a subject of the model image from a subject of the query image is disclosed. The information processing apparatus includes: a feature point extracting means extracting one or more feature points from the model image; a feature describing means describing features of the one or more feature points extracted by the feature point extracting means; and a discrimination capability value calculating means generating correlation images among the features described by the feature describing means, the extracted model image, and one or more other model images for the one or more feature points extracted by the feature point extracting means, and calculating a discrimination capability value indicating the degree of contribution to discriminating the subject of the model image on the basis of the correlation images. | 04-23-2009 |
| 20090141984 | Information Processing Apparatus, Information Processing Method, Image Identifying Apparatus, Image Identifying Method, and Program - An information processing apparatus includes a model image obtaining unit configured to obtain a plurality of model images; a model image feature quantity extracting unit configured to extract feature quantities of the model images obtained by the model image obtaining unit; a matching unit configured to perform matching on the feature quantities of the model images extracted by the model image feature quantity extracting unit; and an identifying feature point extracting unit configured to extract, as a result of the matching performed by the matching unit, feature points having a low correlation with a predetermined model image in similar model images that are the model images having a predetermined number or more of the feature quantities that match feature quantities of the predetermined model image, the extracted feature points being regarded as identifying feature points used for identification of the respective similar model images. | 06-04-2009 |
| 20090316990 | OBJECT RECOGNITION DEVICE, OBJECT RECOGNITION METHOD, PROGRAM FOR OBJECT RECOGNITION METHOD, AND RECORDING MEDIUM HAVING RECORDED THEREON PROGRAM FOR OBJECT RECOGNITION METHOD - An object recognition device includes: a model image processing unit having a feature point set decision unit setting a feature point set in a model image, and detecting the feature quantity of the feature point set, and a segmentation unit segmenting the model image; a processing-target image processing unit having a feature point setting unit setting a feature point in a processing-target image and detecting the feature quantity of the feature point; a matching unit comparing the feature quantities of the feature points set in the model image and in the processing-target image so as to detect the feature point corresponding to the feature point set, and executes a matching; and a determination unit determining the processing result in the matching unit so as to determine presence/absence of a model object in the processing-target image. | 12-24-2009 |
| 20100208983 | LEARNING DEVICE, LEARNING METHOD, IDENTIFICATION DEVICE, IDENTIFICATION METHOD, AND PROGRAM - A learning device includes a feature-point extracting section extracting feature points from a generation image, a feature-point feature-quantity extracting section extracting feature-point feature-quantities representing features of the feature points, a total-feature-quantity generating section generating a total feature quantity represented by a multi-dimensional vector, and an identifier generating section generating an identifier using the total feature quantity and a true label indicating whether or not the generation image is a positive image or a negative image. | 08-19-2010 |
Akira Nakamura, Yamaguchi JP
| Patent application number | Description | Published |
|---|---|---|
| 20100189666 | Cocoon-Shaped Rutile-Type Titanium Dioxide, As Well As Cosmetics And External Additives For Toner Comprising the Same - The present invention provides products comprising rutile-type titanium dioxide of a specific shape, i.e., cosmetics which have high UV blocking ability, provide a good feel upon use without leaving squeakiness or graininess on the skin, and also give a natural bare skin appearance without causing white masking, due to adequate tinting strength and covering power, as well as external additives for toner which are excellent in prevention of filming on a photosensitive member and inhibition of aggregation between toner particles. | 07-29-2010 |
Akira Nakamura, Kawaguchi JP
| Patent application number | Description | Published |
|---|---|---|
| 20090034099 | Imaging lens - It is to provide a large-diameter imaging lens that can suppress reduction of peripheral light amount, achieve size and weight reduction, and maintain excellent optical performance. | 02-05-2009 |
Akira Nakamura, Chiyoda-Ku JP
| Patent application number | Description | Published |
|---|---|---|
| 20110122898 | APPARATUS AND METHOD FOR MANUFACTURING LIGHT SOURCE - Because a reflector that reflects a fundamental wave generated from a solid-state laser element and forms an optical resonator is disposed on an exit surface of a wavelength conversion element, the fundamental wave cannot be resonated and amplified in a stage before the wavelength conversion element is joined to the solid-state laser element. As a result, a problem is created in that the solid-state laser element emits low level light output, so that a relative position of the semiconductor laser and the solid-state laser element cannot properly be adjusted. In order to overcome the above problem, even in the stage before joining the wavelength conversion element to the solid-state laser element, the invention enables the semiconductor laser and the solid-state laser element to be joined by properly adjusting the relative position of the laser and the laser element. A second reflector is provided that is located opposite a first reflector of the solid-state laser element and that partially transmits through the fundamental wave emitted from the solid-state laser element and reflects the rest of the wave. The semiconductor laser and the solid-state laser element are joined together at a relative position such that the output of light having passed through the second reflector reaches or exceeds a predetermined value. | 05-26-2011 |
| 20110124259 | METHOD AND APPARATUS FOR MANUFACTURING LIGHT SOURCE - An apparatus for manufacturing a light source and a method therefor are provided that enables a high efficient light source to be manufactured even when an optical element whose characteristic significantly varies is used. After maintaining temperatures of a laser device and a wavelength conversion element at a temperature where an output of light emitted from each of the device and the element is equal to or greater than a predetermined rate of the maximum output, the laser device and the wavelength conversion element whose temperatures have been maintained are joined together so that the output of the light emitted from the wavelength conversion element is equal to or greater than a predetermined value. | 05-26-2011 |
Akira Nakamura, Ayase-Shi JP
| Patent application number | Description | Published |
|---|---|---|
| 20110214474 | METHOD OF MANUFACTURING A TUBULAR MEMBER - A method of manufacturing a tubular member having a non-constant thickness by ironing at least a portion of the tubular material. The ironing apparatus can have a punch and a die, and the die can have a convex and concave side surface opposing the punch. The method can include bending an axial end portion of the tubular material to form a bent portion. The tubular material can then axially engage the die at the bent portion, and then the punch can be moved relative to the die to iron at least a portion of the tubular material. | 09-08-2011 |
Akira Nakamura, Cupertino, CA US
| Patent application number | Description | Published |
|---|---|---|
| 20120033861 | SYSTEMS AND METHODS FOR DIGITAL IMAGE ANALYSIS - Systems and methods for implementing a hierarchical image recognition framework for classifying digital images are provided. The provided hierarchical image recognition framework utilizes a multi-layer approach to model training and image classification tasks. A first layer of the hierarchical image recognition framework generates first layer confidence scores, which are utilized by the second layer to produce a final recognition score. The provided hierarchical image recognition framework permits model training and image classification tasks to be performed more accurately and in a less resource intensive fashion than conventional single-layer image recognition frameworks. In some embodiments real-time operator guidance is provided for an image classification task. | 02-09-2012 |
| 20120033862 | SYSTEMS AND METHODS FOR SEGMENTING DIGITAL IMAGES - Methods and systems disclosed herein provide the capability to automatically process digital pathology images quickly and accurately. According to one embodiment, an digital pathology image segmentation task may be divided into at least two parts. An image segmentation task may be carried out utilizing both bottom-up analysis to capture local definition of features and top-down analysis to use global information to eliminate false positives. In some embodiments, an image segmentation task is carried out using a “pseudo-bootstrapping” iterative technique to produce superior segmentation results. In some embodiments, the superior segmentation results produced by the pseudo-bootstrapping method are used as input in a second segmentation task that uses a combination of bottom-up and top-down analysis. | 02-09-2012 |
Akira Nakamura, San Jose, CA US
| Patent application number | Description | Published |
|---|---|---|
| 20120087556 | DIGITAL IMAGE ANALYSIS USING MULTI-STEP ANALYSIS - Systems and methods for implementing a multi-step image recognition framework for classifying digital images are provided. The provided multi-step image recognition framework utilizes a gradual approach to model training and image classification tasks requiring multi-dimensional ground truths. A first step of the multi-step image recognition framework differentiates a first image region from a remainder image region. Each subsequent step operates on a remainder image region from the previous step. The provided multi-step image recognition framework permits model training and image classification tasks to be performed more accurately and in a less resource intensive fashion than conventional single-step image recognition frameworks. | 04-12-2012 |