Canon Kabushiki Kaisha

Honda Motor Co., Ltd.

Nippon Sheet Glass Company, Limited

Alps Electric Co., Ltd.

University of Connecticut

Satoru Komatsu

Hideaki Oshima

Hiroshi Kuribayashi

Tomoyuki Fukumaru

Hiroshi Iijima

Yasuhiro Sawada

Tatsuo Matsushita

Tomoki Ikeda

Masashi Nakagawa

Keiichiro Ishihara

Norio Tanaka

Bahram Javidi

Takahiro Takahashi

Adam Markman

Akinari Takagi

Takuya Ishibashi

Takashi Kawai

Yosuke Eguchi

Shin Tanaka

Siddharth Rawat

Naofumi Shiraishi

Kotaro Ichiyama

Jun-ichi Machida

An image processing device including at least one processor and/or a circuit to function as an acquisition unit to acquire an image captured by an imaging element and information related to a distance distribution in a depth direction corresponding to the captured image, and a control unit to control display of the captured image. The control unit performs control so a first subject region in the captured image corresponding to a subject within a distance range in which a distance is measurable with a measurement accuracy equal to or higher than a reference, and a second subject region in the captured image corresponding to a subject not within the distance range are displayed so as to be distinguished from each other, from a reference distance in the depth direction. A distance that is a target of the distance measurement is a distance corresponding to measurement points designated in the image.

Image processing device, image processing method, imaging device, and recording medium that display first and second subject regions in a captured image

An apparatus includes one or more processors, and a memory storing instructions which, when executed by the one or more processors, cause the apparatus to function as an image acquisition unit configured to acquire a captured image, a parameter acquisition unit configured to acquire a parameter recorded when the image is captured, a determination unit configured to determine a target area in the image using the parameter corresponding to the image, an evaluation value calculation unit configured to calculate one or more evaluation values from the target area based on a number of the target areas and a size of the target area, a representative evaluation value calculation unit configured to calculate a representative evaluation value from the evaluation value, and a distance information calculation unit configured to calculate distance information about a distance to a subject in the image based on the representative evaluation value.

Image processing apparatus, measurement method, and storage medium for measuring distance from image

Systems and methods for optical sensing, visualization and detection in media (e.g., turbid media; turbid water; fog; non-turbid media). A light source and an image sensor are positioned in turbid media or external to the turbid media with the light source within a field of view of the image sensor array. Temporal optical signals are transmitted through the turbid media via the light source and multiple perspective video sequence frames are acquired via the image sensor array of light propagating through the turbid media. A three-dimensional image is reconstructed from each frame and the reconstructed three-dimensional images are combined to form a three-dimensional video sequence. The transmitted optical signals are detected from the three-dimensional video sequence by applying a multi-dimensional signal detection scheme.

System and method for optical sensing, visualization, and detection in turbid water using multi-dimensional integral imaging

Embodiments of the present disclosure include systems and methods for cell identification using a lens-less cell identification sensor. Randomly distributed cells can be illuminated by a light source such as a laser. The object beam can be passed through one or more diffusers. Pattern recognition is applied on the captured optical signature to classify the cells. For example, features can be extracted and a trained classifier can be used to classify the cells. The cell classes can be accurately identified even when multiple cells of the same class are inspected.

Systems and methods for cell identification using lens-less imaging

Provided is an image processing apparatus for detecting a sky region based on a color image and a depth image, having: a first generator configured to generate a first provisional sky map based on pixel values of the color image; and an integrator configured to generate a sky map based on the first provisional sky map and depth values of the depth image.

Image processing apparatus, imaging apparatus, depth measuring apparatus and image processing method

An image processing apparatus calculates the distance in a depth direction of an object in an image by using a plurality of images whose blur amount is different. The image processing apparatus has: an acquisition unit configured to acquire distance range information for designating a range of a distance to be calculated; a determination unit configured to determine a photographing condition of each of images photographed, on the basis of the distance range information; and a calculation unit configured to calculate the distance by using a plurality of images photographed in the respective photographing conditions determined by the determination unit.

Image processing apparatus and method calculates distance information in a depth direction of an object in an image using two images whose blur is different

An imaging apparatus comprising: an image acquisition unit configured to acquire an image; a depth map acquisition unit configured to acquire a first depth map; a working range map generation unit configured to generate a working range map showing a working range in the image on the basis of the first depth map; a synthesizing unit configured to synthesize the image and the working range map and to generate a synthesized image; and a display unit configured to display the synthesized image.

Imaging apparatus and method of controlling same

A depth measurement apparatus that calculates depth information of an object based on a first color image and a second color image. A depth calculator calculates depth information of a target pixel in a color plane, using the two color images. An evaluator calculates, for each color plane, an evaluation value to indicate a confidence coefficient of the depth information in the target pixel. The depth calculator (i) determines, based on the evaluation value, a color plane from which the depth information of the target pixel is calculated, (ii) calculates a correlation value in one color plane between the two color images, to calculate the depth information from the correlation value using a conversion table or a conversion formula that is different for each color plane, and (iii) calculates the depth information of the target pixel using a color plane of which a correlation value is a threshold or less.

Depth measurement apparatus, imaging apparatus and depth measurement method that calculate depth information of a target pixel using a color plane of which a correlation value is at most a threshold

An image processing apparatus comprises a corresponding point determining unit configured to, for a plurality of points contained in a first image, search a second image for corresponding points; a transformation coefficient calculating unit configured to divide the plurality of corresponding points into groups, based on amounts of misalignment between the images at the corresponding points, and configured to calculates a coordinate transformation coefficient for each of the groups; and an image synthesizing unit configured to generate a synthesis image, using a plurality of the coordinate transformation coefficients and the second image.

Image processing apparatus, distance measuring apparatus, imaging apparatus, and image processing method

An image processing apparatus for correcting, on the basis of an image and a depth map corresponding to the image, the depth map, includes: a detection unit that detects an object included in the image; a determination unit that determines whether a size of the object detected by the detection unit is a threshold or less; and a correction unit that corrects a distance in a target area which corresponds to an area of the object in the depth map, when the size of the detected object is the threshold or less.

Image processing apparatus, imaging apparatus and distance correction method

A motion information acquiring apparatus includes: a lighting device that illuminates an object at the same time with first intensity-modulated light, second intensity-modulated light, and constant illumination light, wherein the first and second intensity-modulated light are intensity modulated with reference signals having substantially same wavelength but different phase; an image generator that generates first to third images corresponding to the first intensity-modulated light, the second intensity-modulated light, and the constant illumination light; and a motion information acquirer that acquires motion information in the images on the basis of the first to third images.

Motion information acquiring apparatus and motion information acquiring method

An image pickup apparatus includes an imaging unit that acquires a first image by capturing an object at a first focusing position, and acquires a second image after acquiring the first image, by capturing the object at a second focusing position different from the first. The second image has different blur than the first image. A depth information determination unit determines depth information of the object on the basis of a difference in blur between the first image and the second image. A focusing position setting unit sets a focus movement amount that is a difference between the first focusing position and the second focusing position, in accordance with an F-number of the imaging unit. The second focusing position is set such that an absolute value of the focus movement amount is larger when the F-number is large, as compared to when the F-number is relatively small.

Image pickup apparatus, depth information acquisition method and program

A distance measurement method for calculating distance information from a first image and a second image that are image-captured with different image-capturing parameters. A setting step sets a first local region located in the first image including a distance calculation target pixel, and a second local region located in the second image corresponding to the first local region. An extraction step extracts a plurality of shift regions, which are regions of which a shift amount from the second local region is within a predetermined range. A correlation value is calculated between the first local region and each of the plurality of shift regions. A decision step determines a correlation value used for calculating distance information, based on the plurality of correlation values calculated in the first calculation step. The distance information on the distance calculation target pixel is calculated, based on the correlation value determined in the decision step.

Distance measurement apparatus, imaging apparatus, distance measurement method and program

A distance measurement apparatus that calculates distance information based on first and second images, includes a first calculation unit that calculates, for each pixel to which distance calculation is performed, distance information corresponding to the pixel on the basis of a local area of a number of local areas in the first image, including the pixel, and a local area of a number of local areas in the second image, corresponding to the local area in the first image; a second calculation unit that calculates a non-similarity value between the local area in the first image and the local area in the second image; a determination unit that determines whether the non-similarity value is greater than a threshold; and a third calculation unit that calculates a ratio of the number of local areas for which the non-similarity value is determined to be greater than the threshold in a predetermined area to the number of local areas in the predetermined area.

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Yokohama, Japan

Satoru Komatsu