Abstract: By using various information such as GPS information, cartographic information, and atmospheric pressure acquired by a sensor, a CPU of an imaging device calculates a motion vector in a limited MV calculation area acquired by excluding from images an area where radial motion vectors occur which highly possibly give an adverse effect to motion vector calculation, in accordance with the gravity direction with respect to the imaging device, the orientation of the imaging device, and the slope angle of the road where the imaging device is moving forward. After calculating the motion vector, the CPU estimates a blur amount between frames from the calculated motion vector and, based on this blur amount, performs the alignment of a feature point between the frames by image deformation processing.

Abstract: A motion detector calculates a camera shake matrix H(t) applied for a coordinate conversion for a camera shake correction. At this time, the motion detector calculates a motion vector (MV) for each block obtained by dividing a frame, and excludes an object motion vector (MV-B) from the MV. In addition, when a camera shake matrix H_mv that represents a camera shake between the frames is not calculable based on the MV, the motion detector calculates and adjusts a camera shake matrix H_sensor that represents a camera shake in accordance with a motion of an image picker, and settles this matrix as the camera shake matrix H(t).

Abstract: An information processing device acquires acceleration generated by movement of a user, and estimates that the movement of the user is walking or running based on this acquired acceleration. In addition, traveling direction estimation methods for estimating the traveling direction of the user are switched between, based on the estimation results for the movement of the user, and the traveling direction of the user is estimated by way of this selected traveling direction estimation method.

Abstract: By using various information such as GPS information, cartographic information, and atmospheric pressure acquired by a sensor, a CPU of an imaging device calculates a motion vector in a limited MV calculation area acquired by excluding from images an area where radial motion vectors occur which highly possibly give an adverse effect to motion vector calculation, in accordance with the gravity direction with respect to the imaging device, the orientation of the imaging device, and the slope angle of the road where the imaging device is moving forward. After calculating the motion vector, the CPU estimates a blur amount between frames from the calculated motion vector and, based on this blur amount, performs the alignment of a feature point between the frames by image deformation processing.

Abstract: The information processing device 1 includes an acceleration acquisition unit, a vertical direction estimation unit, and a traveling direction estimation unit. The acceleration acquisition unit acquires acceleration occurring by the movement of the user. The vertical direction estimation unit estimates a first vertical direction based on the acceleration acquired by the acceleration acquisition unit. The traveling direction estimation unit estimates a first traveling direction (first traveling direction vector) corresponding to the first vertical direction (first vertical direction vector) estimated by the vertical direction estimation unit. The traveling direction estimation unit estimates a second traveling direction (second traveling direction vector) by shifting the first traveling direction based on the vertical direction as reference and the vertical direction (second vertical direction vector) estimated after the reference vertical direction by the vertical direction estimation unit.

Abstract: A motion detector calculates a camera shake matrix H(t) applied for a coordinate conversion for a camera shake correction. At this time, the motion detector calculates a motion vector (MV) for each block obtained by dividing a frame, and excludes an object motion vector (MV-B) from the MV. In addition, when a camera shake matrix H_mv that represents a camera shake between the frames is not calculable based on the MV, the motion detector calculates and adjusts a camera shake matrix H_sensor that represents a camera shake in accordance with a motion of an image picker, and settles this matrix as the camera shake matrix H(t).

Abstract: A motion detector calculates a camera shake matrix H(t) applied for a coordinate conversion for a camera shake correction. At this time, the motion detector calculates a motion vector (MV) for each block obtained by dividing a frame, and excludes an object motion vector (MV-B) from the MV. In addition, when a camera shake matrix H_mv that represents a camera shake between the frames is not calculable based on the MV, the motion detector calculates and adjusts a camera shake matrix H_sensor that represents a camera shake in accordance with a motion of an image picker, and settles this matrix as the camera shake matrix H(t).

Abstract: A motion detector calculates a camera shake matrix H(t) applied for a coordinate conversion for a camera shake correction. At this time, the motion detector calculates a motion vector (MV) for each block obtained by dividing a frame, and excludes an object motion vector (MV-B) from the MV. In addition, when a camera shake matrix H_mv that represents a camera shake between the frames is not calculable based on the MV, the motion detector calculates and adjusts a camera shake matrix H_sensor that represents a camera shake in accordance with a motion of an image picker, and settles this matrix as the camera shake matrix H(t).

Abstract: The information processing device 1 includes an acceleration acquisition unit, a vertical direction estimation unit, and a traveling direction estimation unit. The acceleration acquisition unit acquires acceleration occurring by the movement of the user. The vertical direction estimation unit estimates a first vertical direction based on the acceleration acquired by the acceleration acquisition unit. The traveling direction estimation unit estimates a first traveling direction (first traveling direction vector) corresponding to the first vertical direction (first vertical direction vector) estimated by the vertical direction estimation unit. The traveling direction estimation unit estimates a second traveling direction (second traveling direction vector) by shifting the first traveling direction based on the vertical direction as reference and the vertical direction (second vertical direction vector) estimated after the reference vertical direction by the vertical direction estimation unit.

Abstract: When a predetermined image switching operation is started, a control section refers to a judgment result as to whether a display portion specified in advance by a touch operation has been identified as a search target. If no display portion has been identified, the control section performs display control in response to the predetermined image switching operation such that images sequentially selected in a forward or reverse direction from a stored image group of images arranged according to a predetermined criterion are displayed on a display section. If a display portion has been identified as a search target, the control section performs display control such that a relevant search condition is acquired with reference to a search condition table based on the search target, the stored image group is searched for another image other than an image being displayed based on the search condition, and the found image is displayed.

Abstract: An electronic apparatus for acquiring a location, comprising: a location acquiring unit which acquires a current location of the electronic apparatus; a correction area setting unit which, based on a link attribute indicating an attribute of an adjacent area of a link in map data, sets a correction area within the adjacent area, the correction area being referred to correct the current location to a location on the link; and a location correcting unit which, in a case in which the current location acquired by the location acquiring unit belongs to the correction area set within the adjacent area, corrects the current location to a location on the link which corresponds to the correction area.

Abstract: An information processing device acquires acceleration generated by movement of a user, and estimates that the movement of the user is walking or running based on this acquired acceleration. In addition, traveling direction estimation methods for estimating the traveling direction of the user are switched between, based on the estimation results for the movement of the user, and the traveling direction of the user is estimated by way of this selected traveling direction estimation method.

Abstract: An electronic apparatus for acquiring a location, comprising: a location acquiring unit which acquires a current location of the electronic apparatus; a correction area setting unit which, based on a link attribute indicating an attribute of an adjacent area of a link in map data, sets a correction area within the adjacent area, the correction area being referred to correct the current location to a location on the link; and a location correcting unit which, in a case in which the current location acquired by the location acquiring unit belongs to the correction area set within the adjacent area, corrects the current location to a location on the link which corresponds to the correction area.

Abstract: An image processing apparatus, including a first obtaining unit which obtains image data; a first generation unit which generates a plurality of levels of pixel values that are respectively smoothed in a plurality of levels of resolutions; a correction unit which corrects the pixel value of the obtained image data for each of the levels; and a control unit which controls so as to form image data in which the pixel value of the obtained image data is enhanced by utilizing a high frequency component in each of the levels of the image data having the pixel value corrected by the correction unit, the high frequency component corresponding to each of the levels of the resolutions.

Abstract: An image composition apparatus 1 is provided with an information acquisition section 53, an image adjustment section 54 and a synthesis section 56. The information acquisition section 53 acquires numerical values relating to brightness of image regions with a particular hue in corrected exposure image data among plural sets of image data that are sequentially captured with the exposure duration being varied. The synthesis section 56 performs pixel addition of the plural sets of image data by changing a degree of addition of the plural sets of image data, based on the numerical values thus acquired, and generates composite image data with a widened dynamic range.

Abstract: An image processing apparatus, including a first obtaining unit which obtains image data; a first generation unit which generates a plurality of levels of pixel values that are respectively smoothed in a plurality of levels of resolutions; a correction unit which corrects the pixel value of the obtained image data for each of the levels; and a control unit which controls so as to form image data in which the pixel value of the obtained image data is enhanced by utilizing a high frequency component in each of the levels of the image data having the pixel value corrected by the correction unit, the high frequency component corresponding to each of the levels of the resolutions.

Abstract: A plurality of image data different in exposure condition are separated into a plurality of luminance component image data and a plurality of color-difference component image data, and the luminance component image data and the color-difference component image data are inputted to an image combining portion 11. A luminance component combining section 21 averages and smoothes the plurality of image data different in exposure condition and sets combining rates of the plurality of image data different in exposure condition by using the smoothed average luminance component image data. The separated plurality of luminance component image data are combined by using the set combining rates with respect to each attention pixel. On the other hand, a color-difference component combining portion 22 combines the separated plurality of color-difference component image data by using the combining rates used in the luminance component combining section 21.

Abstract: An image pickup apparatus includes an image pickup unit, a light emission unit, an image acquisition unit configured to drive the image pickup unit and the light emission unit to acquire an image while the light emission unit is emitting light and acquire images while the light emission unit is emitting no light at substantially the same view angle, a difference acquisition unit configured to acquire a luminance difference between the image acquired while the light emission unit is emitting light and one of the images acquired while the light emission unit is emitting no light, and an image composing unit configured to compose a composite image from the images acquired while the light emission unit is emitting no light and the image acquired while the light emission unit is emitting light, using the luminance difference acquired by the difference acquisition unit as transmission intensity data.

Abstract: There is provided an image processor for processing input image data having a luminance component and other components, which are defined in a prescribed color space. The image processor includes: a first emphasis processor configured to process first image data so as to emphasize the contrast of the first image data in accordance with a first emphasis amount, wherein the first image data correspond to the luminance component of the input image data; a second emphasis processor configured to process second image data so as to emphasize the chroma of the second image data in accordance with the first emphasis amount, wherein the second image data correspond to said other components of the input image data; and an image data generator configured to generate new image data by combining the contrast-emphasized first image data and the chroma-emphasized second image data.

Abstract: An image processing apparatus includes: a gradation correction unit configured to perform gradation correction upon a subject image to be processed to generate a corrected image, the gradation correction including processing for lowering contrast in the subject image; a gradation information acquisition unit configured to acquire gradation information indicating relative balance of brightness in each portion of the subject image; and an adjustment unit configured to adjust brightness of the corrected image on a pixel basis based on the gradation information.