IMAGE PROCESSING DEVICE AND METHOD, DRIVING SUPPORT SYSTEM, AND VEHICLE

• US 20110001826A1
• Filed: 02/03/2009
• Published: 01/06/2011
• Est. Priority Date: 03/19/2008
• Status: Abandoned Application

• Current Assignee: Sanyo Electric Company Limited (Panasonic Holdings Corporation)
• Original Assignee: Sanyo Electric Company Limited (Panasonic Holdings Corporation)
• Inventors: Hongo, Hitoshi
• Application Number:
  US12/922,006
• Publication Number:
  US 20110001826A1
• Time in Patent Office: Days
• US Class Current: 348/148
• CPC Class Codes: B60R 1/27 providing all-round vision, e.g. using omnidirectional cameras
• CPC Class Codes: B60R 2300/303 using joined images, e.g. multiple camera images
• CPC Class Codes: B60R 2300/306 using a re-scaling of images
• CPC Class Codes: B60R 2300/607 from a bird's eye viewpoint
• CPC Class Codes: G06T 3/4038 Image mosaicing, e.g. composing plane images from plane sub-images
• CPC Class Codes: H04N 7/183 for receiving images from a single remote source

Abstract

A driving support system performs a viewpoint conversion, generates, from a camera image obtained from an in-vehicle camera, an extended bird'"'"'s-eye view image corresponding to a synthesized image of first and second element images, and displays the generated image. The first element image is a bird'"'"'s-eye view image showing the condition around a vehicle. The second element image is a far image showing the condition far away from the vehicle. The extended bird'"'"'s-eye view image is obtained by converting the camera image to an image viewed from the viewpoint of a virtual camera. When the first and second element images are generated, the depression angles of the virtual camera are 90 degrees and 90 degrees or less, respectively. When the extended bird'"'"'s-eye view image is generated corresponding to the tilt angle or the like of an actual camera, it is automatically determined whether the lack of an image occurs or not. In the case where the lack of the image occurs, the position of the boundary between the first and second element images, the height of the viewpoint of the virtual camera, etc., are adjusted so that the lack disappears.

Claims

1. An image processing device comprising:

an image acquisition portion which acquires an input image based on a result of shooting by a camera shooting surroundings of a vehicle;

an image transformation portion which transforms, through coordinate transformation, the input image into a transformed image including a first constituent image as viewed from a first virtual camera and a second constituent image as viewed from a second virtual camera different from the first virtual camera;

a parameter storage portion which stores an image transformation parameter for transforming the input image into the transformed image;

a loss detection portion which checks, by use of the image transformation parameter stored in the parameter storage portion, whether or not, within an entire region of the transformed image obtained from the input image, an image-missing region is present where no image data based on image data of the input image is available; and

a parameter adjustment portion which, if the image-missing region is judged to be present within the entire region of the transformed image, adjusts the image transformation parameter so as to suppress presence of the image-missing region.

2. The image processing device according to claim 1, wherein, according to the image transformation parameter, the image transformation portion generates the transformed image by dividing the input image into a plurality of partial images including a first partial image in which a subject at a comparatively short distance from the vehicle appears and a second partial image in which a subject at a comparatively long distance from the vehicle appears and then transforming the first and second partial images into the first ad second constituent images respectively.

3. The image processing device according to claim 2, wherein

the image transformation parameter before and after adjustment is set such that a depression angle of the second virtual camera is smaller than a depression angle of the first virtual camera and that the depression angle of the second virtual camera decreases at a prescribed angle variation rate away from the first constituent image starting at a boundary line between the first and second constituent images, and

if the image-missing region is judged to be present within the entire region of the transformed image, the parameter adjustment portion adjusts the image transformation parameter by adjusting the angle variation rate in a direction in which a size of the image-missing region decreases.

4. The image processing device according to claim 2, wherein

the image transformation parameter before and after adjustment is set such that a depression angle of the second virtual camera is smaller than a depression angle of the first virtual camera, and

if the image-missing region is judged to be present within the entire region of the transformed image, the parameter adjustment portion adjusts the image transformation parameter by moving a boundary line between the first and second constituent images within the transformed image in a direction in which a size of the image-missing region decreases.

5. The image processing device according to claim 2, wherein, if the image-missing region is judged to be present within the entire region of the transformed image, the parameter adjustment portion adjusts the image transformation parameter by adjusting a height of the first and second virtual cameras in a direction in which a size of the image-missing region decreases.

6. The image processing device according to claim 2, wherein

the image transformation parameter before and after adjustment is set such that a depression angle of the second virtual camera is smaller than a depression angle of the first virtual camera and that the depression angle of the second virtual camera decreases at a prescribed angle variation rate away from the first constituent image starting at a boundary line between the first and second constituent images, and

if the image-missing region is judged to be present within the entire region of the transformed image,

the parameter adjustment portion, taking the angle variation rate, a position of the boundary line on the transformed image, and a height of the first and second virtual cameras as a first, a second, and a third adjustment target respectively, adjusts the image transformation parameter by adjusting one or more of the first to third adjustment targets in a direction in which a size of the image-missing region decreases, and

the parameter adjustment portion repeats the adjustment of the image transformation parameter until the entire region of the transformed image does not include the image-missing region.

7. The image processing device according to claim 1, wherein

the image transformation parameter defines coordinates before coordinate transformation corresponding to coordinates of individual pixels within the transformed image, and

when the coordinates before coordinate transformation are all coordinates within the input image, the loss detection portion judges that no image-missing region is present within the entire region of the transformed image and, when the coordinates before coordinate transformation include coordinates outside the input image, the loss detection portion judges that the image-missing region is present within the entire region of the transformed image.

8. A driving support system comprising the camera and the image processing device according to claim 1, wherein an image based on the transformed image obtained at the image transformation portion of the image processing device is outputted to a display device.

9. A vehicle comprising the camera and the image processing device according to claim 1.

10. An image processing method comprising:

an image acquiring step of acquiring an input image based on a result of shooting by a camera shooting surroundings of a vehicle;

an image transforming step of transforming, through coordinate transformation, the input image into a transformed image including a first constituent image as viewed from a first virtual camera and a second constituent image as viewed from a second virtual camera different from the first virtual camera;

a parameter storing step of storing an image transformation parameter for transforming the input image into the transformed image;

a loss detecting step of checking, by use of the stored image transformation parameter, whether or not, within an entire region of the transformed image obtained from the input image, an image-missing region is present where no image data based on image data of the input image is available; and

a parameter adjusting step of adjusting, if the image-missing region is judged to be present within the entire region of the transformed image, the image transformation parameter so as to suppress presence of the image-missing region.