Abstract: An information processing apparatus is provided. The information processing apparatus includes a data storage unit configured to store measurement data of microparticles; a data processing unit configured to create a 3D image in a coordinate space with three types of variables from the measurement data, the 3D image represents a characteristic distribution of the microparticles; and a display unit configured to display the 3D image, wherein in a case that a gating region is set in the 3D image, the 3D image is rotated or scaled up or down along with the gating region on the display unit. An information processing method and program are also provided.

Abstract: A soy saponin composition is provided high bodily absorption characteristics. In an embodiment, a soyasapogenol composition comprises soyasapogenol B and 3-O-D-glucuronopyranosyl soyasapogenol B. The weight ratio (B/A) of the 3-O-D-glucuronopyranosyl soyasapogenol B to the soyasapogenol B is in the range of 0.001-10. The composition can be produced by partial decomposition of a sugar chain residue of a soy saponin B group glycoside utilizing an acid.

Abstract: In a boundary line recognition apparatus, based on luminance levels of an image captured by a camera, candidate edge points of a boundary line sectioning a travel road are extracted, and a candidate line of the boundary line is extracted. An apparent width of the candidate line on an image is calculated, from a width of the candidate line in a horizontal direction of the image and an angle of the candidate line relative to a vertical direction of the image. A probability of a candidate line being a boundary line is calculated to be higher, as a degree of the candidate line having characteristics as a boundary line is higher. The calculated probabilities are integrated in respect of a plurality of characteristics to recognize a boundary line. The characteristics include a ratio of the calculated apparent width to an image blur degree is larger than a predetermined value.

Abstract: The present invention provides a 3D data analysis apparatus and a 3D data analysis method. A 3D data analysis apparatus including a data storage unit that stores measurement data of microparticles, an input unit that selects three kinds of variables independent of the measurement data, a data processing unit that calculates positions and graphics in a coordinate space with the three kinds of variables being coordinate axes and creates a 3D stereoscopic image that represents a characteristic distribution of the microparticles, and a display unit that displays the 3D stereoscopic image, and the 3D data analysis apparatus variably sets a separate area in the coordinate space on the basis of an input signal from the input unit and displays the area in the 3D stereoscopic image.

Abstract: A 3D data analysis apparatus includes a data storage unit configured to store measurement data of microparticles, an input unit configured to select four independent variables from the measurement data, a data processing unit configured to calculate a position in a coordinate space using three variables of the selected variables as coordinate axes, calculate a figure from one residual variable of the selected variables, and create a 3D stereoscopic image showing a characteristic distribution of the microparticles, and a display unit configured to display the 3D stereoscopic image.

Abstract: A region recommendation device 100 includes a visibility analysis unit 101 which identifies a region where a viewing order satisfies a set criterion as a frequent viewing region, a selection possibility analysis unit 102 which identifies a object which the selection possibility satisfies a set criterion as a frequent selection object, and a recommended-region identification unit 103 which recommends a suitable region from among regions besides the region in which the placed frequent selection object in the frequent viewing region.

Abstract: In a travel path estimation apparatus, a calculating unit calculates coordinates of edge points configuring a division line on a travel path, from an image captured by an on-board camera. An estimating unit estimates a travel path parameter of a state of the travel path and a shape of the travel path using a predetermined filter, based on the calculated coordinates of edge points. A setting unit sets a filter parameter of the predetermined filter of responsiveness of estimation of the travel path parameter. A detecting unit detects a sharp curve based on information giving advance notice of a sharp curve before the vehicle enters the sharp curve. The setting unit sets the filter parameter so that the responsiveness increases from that before detection of the sharp curve, during a period from detection of the sharp curve until the vehicle enters the sharp curve.

Abstract: In a travel division line recognition apparatus, an extracting unit extracts a travel division line candidate from an image of a surrounding environment including a road, captured by an on-board camera. A calculating unit calculates a degree of reliability that the extracted travel division line candidate will be the travel division line. A recognizing unit selects the travel division line candidate based on the calculated degree of reliability, and recognizes the travel division line using the selected travel division line candidate. In the calculating unit, a solid object processing unit recognizes solid objects including vehicles, sets a suppression area including a frontal-face suppression area covering a frontal face of the other vehicle and a side-face suppression area covering a side face of the other vehicle, based on the recognized solid objects, and reduces the degree of reliability of the travel division line candidate present within the suppression area.

Abstract: In a travel division line recognition apparatus mounted in a vehicle, a dividing unit divides an area from which edge points, configuring a division line on a road, are extracted in a captured image of the road in the periphery of the vehicle into a nearby area within a predetermined distance from the vehicle and a distant area beyond the predetermined distance from the vehicle. An extraction area from which the edge points are extracted in a portion of the distant area is set. The edge points within the set extraction area are extracted. Distant road parameters are estimated based on the extracted edge points. An extraction area setting unit predicts a position of the division line in the distant area using a curvature of the road acquired in advance, and sets the extraction area so as to include the predicted position of the division line.

Abstract: A UI creation support system is provided which supports creating a user interface (UI) screen for receiving an input of each of a plurality of items, the UI creation support system (1) including a UI configuration determining unit (10) that arranges graphical user interface (GUI) components for receiving an input of each of the plurality of items and item-relevant information pieces which are information pieces relevant to the plurality of items which are displayed in correlation with the GUI components on the UI screen, adjusts an amount of the item-relevant information pieces to be arranged on the UI screen depending on an assumed user using the UI screen, and determines a configuration of the UI screen for the assumed user.

Abstract: An apparatus for determining the presence or absence of a turnoff in a roadway. In the apparatus, a turnoff determiner is configured to, for each of left and right white lane lines selected by a white-lane-line selector, smooth white lane lines previously selected by the white-lane-line selector over time to calculate a smoothed white lane line as a reference line, calculate a white-lane-line deviation that is a maximum one of deviations between the reference line and white-lane-line edge points along the white lane line currently selected by the white-lane-line selector. The turnoff determiner is configured to calculate a degree of belief that a turnoff exists based on the calculated left and right white-lane-line deviations, and based on the calculated left and right white-lane-line deviations, determine the presence or absence of a turnoff in the roadway.

Abstract: In a lane line recognition apparatus, an abnormality determiner is configured to determine whether or not a width of a travel lane defined by left-side and right-side lane lines is abnormal, and a lane-line recognizer is configured to, when the width of the travel lane is not abnormal, recognize both of the left-side and right-side lane lines in a both-side line recognition mode, and when the width of the travel lane is abnormal, recognize one of the lane lines in a one-side line recognition mode. In the one-side line recognition mode, the lane-line recognizer is configured to, for each of the left-side and right-side lane lines, calculate two or more parameters of the lane line, and then integrate recognition results for the respective two or more parameters, and based on the integrated recognition results of the left-side and right-side lane lines, select one of the lane lines to be recognized.

Abstract: An apparatus for recognizing a lane line. In the apparatus, when a three-dimensional object lies in the same lane as a subject vehicle and a distance between the three-dimensional object and the subject vehicle is small in an image acquired by an image capture unit, a masking area setter sets a masking area that is partially truncated at or near a lower end of the three-dimensional object in the image. A degree-of-belief calculator is configured to, for each of the edge points extracted by the edge-point extractor, calculate a degree of belief that the edge point is on the lane line. The degree of belief when the edge point is in the masking area is set less than the degree of belief when the edge point is outside the masking area. A lane-line recognizer is configured to recognize the lane line based on the degrees of belief calculated for the edge points.

Abstract: An apparatus for recognizing lane lines including a broken line. An image capture unit is configured to acquire an image of the surroundings including a roadway ahead of a subject vehicle. An edge-point extractor is configured to extract edge points in the image. An first-edge-point detector is configured to detect first edge points facing at least one missing section of a broken line in the edge points extracted by the edge-point extractor. A lane-line recognizes is configured to recognize a lane line using the edge points extracted by the edge-point extractor other than all or some of the first edge points.

Abstract: An apparatus for determining the presence or absence of a turnoff in a roadway. In the apparatus, a white-line candidate extractor applies image processing to an image of surroundings of a subject vehicle acquired by a vehicle-mounted camera to extract white-line candidates in the roadway. A white-line likelihood calculator calculates, for each of the white-line candidates extracted by the white-line candidate extractor, a likelihood of the white-line candidate. A white-line likelihood calculator calculates, for each of the white-line candidates extracted by the white-line candidate extractor, a likelihood of the white-line candidate. A turnoff determiner calculates a likelihood for one of a plurality of features of the white line selected by the white-line selector, and determines the presence or absence of a turnoff in the roadway based on the likelihood calculated by the turnoff determiner.

Abstract: A brightness value calculation apparatus includes a color image obtaining section which obtains a color image obtained by imaging a view outside a vehicle and a brightness value calculation section which calculates a brightness value A of a pixel of at least part of the color image based on an expression (1): A=?AR+?AG+?AB??(1) where AR is brightness of R (red) of the pixel for which the brightness value A is to be calculated, AG is brightness of G (green) of the pixel for which the brightness value A is to be calculated, AB is brightness of B (blue) of the pixel for which a brightness value A is to be calculated, and ?, ?, ? are constants satisfying a relationship ?>?>?.

Abstract: In vehicle-lane boundary line detection, low-luminance values are acquired from areas corresponding to below a tire and directly below a vehicle center based on a road surface image. A snow rut degree is calculated based on a luminance ration between the areas. A probability is calculated from a map based on the calculated snow rut degree. A parameter indicating the degree of snow rut likeness is calculated by a low-pass filtering process. A snow rut determination is made by the calculation result being compared with a predetermined threshold. A final determination of whether or not a snow rut is present is made, with reference to an outside temperature. When determined that a snow rut is present, a determination is made not to perform the detection. When determined that a snow rut is not present, a determination is made to perform the detection.

Abstract: A transparent pressure sensitive adhesive sheet with a front surface and a back surface, fabricated by changing the intensity of the ultraviolet light irradiation between the front surface and the back surface. The transparent pressure sensitive adhesive sheet is obtained by ultraviolet light irradiation of an ultraviolet light hardening pressure sensitive adhesive sheet that contains a (meth)acrylic copolymer, a cleavage type photoinitiator, and an ultraviolet light absorber. The amount of ultraviolet light irradiation varies between the first surface and the second surface and the adhesive force varies between the first surface and the second surface.

Abstract: A hyaluronic acid production promoter and a melanin synthesis inhibitor include soybean saponin as an active ingredient. The soybean saponin can be a soybean saponin aglycone, such as soyasapogenol A and/or soyasapogenol B. The hyaluronic acid production promoter and melanin synthesis inhibitor can be administered transdermally or orally.

Abstract: A composition that is useful in a skin function improving agent includes at least two of the following: vitamin K, a sapogenol, and a collagen hydrolysate. This composition can be used in a skin function improving agent and is particularly useful in a skin function improving agent for inhibiting transdermal moisture loss and/or for retaining the moisture in the stratum corneum.