Abstract: An image processing apparatus according to an embodiment of the present invention which performs blurring processing on captured image data based on distance information of a subject includes a dividing unit configured to divide the captured image data into a plurality of image data pieces corresponding to pieces of the distance information different from each other, a generating unit configured to generate a plurality of blurred image data pieces by performing blurring processing on the plurality of divided image data pieces including an occlusion region, and a synthesizing unit configured to synthesize the plurality of blurred image data pieces.

Abstract: A collision avoidance assistance device for a vehicle is provided. The collision avoidance assistance device includes a camera configured to acquire an image of an area around the vehicle and a controller. The controller is configured to: detect an image of an animal in the image of the area around the vehicle; determine a type of the animal detected in the image; retrieve behavior characteristics index values representing behavior characteristics of the determined type of the animal; calculate a future presence area of the animal based on the behavior characteristics index values; determine a probability of a collision between the animal and the vehicle based on the calculated future presence area of the animal; and perform a collision avoidance assistance function based on the determined probability of the collision between the animal and the vehicle.

Abstract: A secondary battery includes an assembly with positive and negative electrodes alternately laminated with a separator interposed therebetween, each of the electrodes includes an active material layer formed on a current collector. The active material layer has a multi-layer structure that includes first and second active material layers, all or part of a second active material layer being positioned on the first active material layer, termination positions of the active material layers being deviated in a planar direction. Insulting member is disposed to cover a border part between applied and non-applied parts of the active material layer. A difference between an average thickness at a multi-layer part where both active material layers are laminated on current collector and a thickness of the active material layer at a part where the insulating member is positioned on active material layer is 50% or more of a thickness of the insulating member.

Abstract: An image processing apparatus has: a depth map acquiring unit configured to acquire a depth map that records information indicating a depth distance corresponding to each point on a photographed image; an in-focus position acquiring unit configured to acquire an in-focus position on the photographed image; a reference distance determining unit configured to acquire a depth distance corresponding to the in-focus position from the depth map and sets the acquired depth distance as a reference distance; and an image processing unit configured to perform image processing on the photographed image by using the depth map and the reference distance.

Abstract: An image processing apparatus comprising: an image acquisition unit configured to acquire an image; a depth map acquisition unit configured to acquire a depth map corresponding to the image; a refinement unit configured to detect a saliency region from the image and to refine the depth map on the basis of the saliency region, the saliency region being a region on which a person tends to focus; and an image processing unit configured to apply image processing to the image using the depth map refined by the refinement unit.

Abstract: The image processing apparatus includes an area dividing part that divides an input image produced by an image pickup system into plural image areas whose evaluation values are mutually different. The evaluation value is obtained by using a response function of the image pickup system. The apparatus further includes a processing part that performs image processing to produce an output image whose definition is higher than that of the input image by using the response functions different for the respective image areas.

Abstract: An image processing apparatus for adding a blur to an image in use of depth information corresponding to the image, comprising: a conversion unit configured to convert the depth information into blur size information; a division unit configured to divide the image into a plurality image areas having a same blur size; an image generation unit configured to perform blur processing on each of the plurality of image areas with the blur size to generate blurred images; and a synthesizing unit configured to synthesize the plurality of blurred images generated by the image generation unit.

Abstract: An image processing apparatus has: a depth map acquiring unit configured to acquire a depth map that records information indicating a depth distance corresponding to each point on a photographed image; an in-focus position acquiring unit configured to acquire an in-focus position on the photographed image; a reference distance determining unit configured to acquire a depth distance corresponding to the in-focus position from the depth map and sets the acquired depth distance as a reference distance; and an image processing unit configured to perform image processing on the photographed image by using the depth map and the reference distance.

Abstract: An image processing apparatus 1 includes an image region dividing portion 105 configured to divide a shot image into a plurality of image regions so that an amount of change of an image quality is within a predetermined range when the shot image is blurred using a blur kernel depending on an object distance and an angle of view of the shot image, a blur kernel generating portion 106 configured to calculate the blur kernel for each image region divided by the image region dividing portion 105, and an image processing calculating portion 107 configured to generate a blur-added image by performing a convolution calculation for the shot image using the blur kernel calculated by the blur kernel generating portion 106.

Abstract: A visual field examination system measures the visual field of an eye. Quantitative information of a 3D retinal layer structure is acquired by detecting a range in which a peak of a retinal reflectance distribution obtained by OCT scanning is lost. A position of the fovea of the eye fundus is identified based on the acquired information. A location of a range in which the peak of the retinal reflectance distribution is lost is specified in a 2D fundus image based on the position of the fovea, and the specified location is marked on a region of the 2D fundus image. A position of the marked region is detected, and a visual inspection field region is generated based on the detection. Visual field examination points of the visual inspection field region are presented to the eye through a visual field dome for carrying out visual field examination of the eye.

Abstract: An image processing apparatus that blurs a picked-up image based on distance information on a subject, comprises a restoration kernel acquisition section that acquires a restoration kernel as a kernel for eliminating degradation of an image; a blur kernel acquisition section that acquires a blur kernel as a kernel for blurring the image; a compound kernel acquisition section that acquires a compound kernel obtained by merging the restoration kernel with the blur kernel; and an image processing section that eliminates the degradation of the picked-up image and blurs the picked-up image by using the compound kernel.

Abstract: An image processing apparatus includes: an acquisition unit configured to acquire captured image data and depth map data representing a distribution of depth information of an object acquired from the captured image data; a reduction unit configured to reduce the captured image data acquired by the acquisition unit in accordance with a data amount of the depth map data; and a correction unit configured to correct the depth map data by using the reduced captured image data.

Abstract: An image processing apparatus according to an embodiment of the present invention which performs blurring processing on captured image data based on distance information of a subject includes a dividing unit configured to divide the captured image data into a plurality of image data pieces corresponding to pieces of the distance information different from each other, a generating unit configured to generate a plurality of blurred image data pieces by performing blurring processing on the plurality of divided image data pieces including an occlusion region, and a synthesizing unit configured to synthesize the plurality of blurred image data pieces.

Abstract: An image processing apparatus for adding a blur to an image in use of depth information corresponding to the image, comprising: a conversion unit configured to convert the depth information into blur size information; a division unit configured to divide the image into a plurality image areas having a same blur size; an image generation unit configured to perform blur processing on each of the plurality of image areas with the blur size to generate blurred images; and a synthesizing unit configured to synthesize the plurality of blurred images generated by the image generation unit.

Abstract: A parking assistance apparatus includes a display unit that displays an image of a scene behind a host vehicle. At least when the host vehicle moves forward or when the host vehicle is stopped, the display unit displays an indication including a plurality of kinds of trajectories along which the host vehicle is able to back up from a point at which the host vehicle is currently positioned, in a manner such that the indication is superimposed on the image of the scene behind the host vehicle.

Abstract: An image processing apparatus comprising: an image acquisition unit configured to acquire an image; a depth map acquisition unit configured to acquire a depth map corresponding to the image; a refinement unit configured to detect a saliency region from the image and to refine the depth map on the basis of the saliency region, the saliency region being a region on which a person tends to focus; and an image processing unit configured to apply image processing to the image using the depth map refined by the refinement unit.

Abstract: In a vehicle remote operating system remotely operating a host vehicle VM from a portable terminal 200, a main control unit 112 of an ECU 110 of an in-vehicle device 100 determines an dispatch position of the host vehicle VM on the basis of a parking position of the host vehicle VM and a position of a user U who intends to board the host vehicle VM. Due to this, it becomes possible to dispatch the host vehicle VM according to the parking position of the host vehicle VM and the position of the user U, and convenience is improved in dispatch operation and boarding of the host vehicle VM.

Abstract: In a vehicle remote operating system remotely operating a host vehicle VM from a portable terminal 200, a main control unit 112 of an ECU 110 of an in-vehicle device 100 determines an dispatch position of the host vehicle VM on the basis of a parking position of the host vehicle VM and a position of a user U who intends to board the host vehicle VM. Due to this, it becomes possible to dispatch the host vehicle VM according to the parking position of the host vehicle VM and the position of the user U, and convenience is improved in dispatch operation and boarding of the host vehicle VM.

Abstract: An image processing apparatus has: a depth map acquiring unit configured to acquire a depth map that records information indicating a depth distance corresponding to each point on a photographed image; an in-focus position acquiring unit configured to acquire an in-focus position on the photographed image; a reference distance determining unit configured to acquire a depth distance corresponding to the in-focus position from the depth map and sets the acquired depth distance as a reference distance; and an image processing unit configured to perform image processing on the photographed image by using the depth map and the reference distance.

Abstract: An image processing apparatus 1 includes an image region dividing portion 105 configured to divide a shot image into a plurality of image regions so that an amount of change of an image quality is within a predetermined range when the shot image is blurred using a blur kernel depending on an object distance and an angle of view of the shot image, a blur kernel generating portion 106 configured to calculate the blur kernel for each image region divided by the image region dividing portion 105, and an image processing calculating portion 107 configured to generate a blur-added image by performing a convolution calculation for the shot image using the blur kernel calculated by the blur kernel generating portion 106.