摘要:
A method and an apparatus for recovering a component of a distortion field of an image of a set of multi-view images are described. Also described are a method and an apparatus for determining a disparity field of an image of a set of multi-view images, which makes use of such method.In a first step pixel correspondences between the image and another image of the set of multi-view images are determined. A disparity field is then determined from at least a subset of the determined pixel correspondences. The disparity field is smoothed and the component of the distortion field is estimated from the smoothed disparity field. When determining a second disparity field the estimated component of the distortion field is taken into account when determining pixel correspondences between the image and another image of the set of multi-view images.
摘要:
The present invention relate to an image generating apparatus for generating an image from a viewpoint specified by a user. According to the invention, the apparatus has a storage unit that stores data of a plurality of images, and a disparity map generating unit that generates a disparity map. The disparity map is associated with a pair of images including a first image and a second image, and indicates corresponding pixels in the first and second images.
摘要:
The present invention relate to an image generating apparatus for generating an image from a viewpoint specified by a user. According to the invention, the apparatus has a storage unit that stores data of a plurality of images, and a disparity map generating unit that generates a disparity map. The disparity map is associated with a pair of images including a first image and a second image, and indicates corresponding pixels in the first and second images.
摘要:
Corresponding points in at least two different images of a scene are matched by the use of a shortest path analysis. An edge point in a continuous edge segment is selected in one image and potentially matching edge points in other images are arranged as a layered network. Weightings are applied to the potential matches and the best match is identified on the basis of a shortest path analysis of the network. In one preferred arrangement epipolar lines are used. For each edge point to be matched the position of the corresponding epipolar line is calculated using matrices defining parameters associated with the capturing of the image. The epipolar line is used to identify in the other image points as potential matches to the selected point in the one image. Further constraints are applied to the identified points to find the one point in the other image that most likely matches the selected point.
摘要:
A method and an apparatus for recovering a component of a distortion field of an image of a set of multi-view images are described. Also described are a method and an apparatus for determining a disparity field of an image of a set of multi-view images, which makes use of such method.In a first step pixel correspondences between the image and another image of the set of multi-view images are determined. A disparity field is then determined from at least a subset of the determined pixel correspondences. The disparity field is smoothed and the component of the distortion field is estimated from the smoothed disparity field. When determining a second disparity field the estimated component of the distortion field is taken into account when determining pixel correspondences between the image and another image of the set of multi-view images.
摘要:
A method of 3-dimensional structure estimation of the invention, making use of a plurality of stereo-pictures, repeats, for each pixel of a first picture, a step of extracting corresponding small regions (4) corresponding to the concerning pixel according to a depth estimation (68); a step of calculating a neighboring correspondence value for each of the corresponding small regions representing correspondence among neighboring corresponding small regions of picures taken by neighboring cameras; a step of obtaining a sum (61) of the neighboring correspondence values; and selecting a value of the depth estimation (68) which gives a singular value of the sum (61) representing correspondence among the corresponding small regions.