Abstract: Disclosed are an image matching method and apparatus. The image matching method is inclusive of steps of obtaining a panoramic image of at least one subspace in a 3D space and a 2D image of the 3D space; acquiring a 2D image of the at least one subspace in the 3D space; performing 3D reconstruction on the panoramic image of the at least one subspace, and procuring a projection image corresponding to the panoramic image of the at least one subspace; and attaining a matching relationship between the panoramic image of the at least one subspace and the 2D image of the at least one subspace, and establishing an association relationship between the panoramic image of the at least one subspace and the 2D image of the at least one subspace between which the matching relationship has been generated.

Abstract: Disclosed are a panoramic image based jump position determination method and apparatus. The method includes steps of obtaining first and second original panoramic images having the same horizontal width; performing, based on posture data of cameras respectively shooting the two original panoramic images, an adjustment process on at least one of the two original panoramic images, so as to acquire first and second panoramic images; after the adjustment process, conducting a feature extraction process regarding the two panoramic images, and choosing, based on a result of the feature extraction process, a plurality of pairs of image columns on the two panoramic images, so as to select at least one pair of first image columns from among the plurality of pairs of image columns; and determining, based on the at least one pair of first image columns, jump positions on the first and second panoramic images for jumping between the two.

Abstract: A method and an apparatus for constructing a three-dimensional channel, and a non-transitory computer-readable recording medium are provided. In the method, a depth image corresponding to a first panoramic image is generated. Then, channel object detection is performed on the first panoramic image to obtain channel object boxes in the first panoramic image. Each of the channel object boxes is four annularly interconnected arc-shaped sides, and each of the arc-shaped sides is a circular arc of a great circle. Then, a three-dimensional point cloud of a channel object in the first panoramic image is generated based on the first panoramic image, the channel object boxes and the depth image.

Abstract: A method and an apparatus for determining a connection relation of subspaces, and a non-transitory computer-readable recording medium are provided. In the method, a plurality of sets of panoramic images respectively corresponding to two respective adjacent subspaces are obtained. Each set of the panoramic images includes two first panoramic images, and a second panoramic image photographed at a connection opening. Orientations of the connection openings are determined based on positions of the connection openings, and orientations of a camera. Relative positions of the two adjacent subspaces are determined based on correspondence relations between the two first panoramic images and parts of the respective second panoramic images. The connection relation of the subspaces is determined based on the connection relation determined based on the same subspace, the orientations of the connection openings, and the relative positions of the two adjacent subspaces.

Abstract: Disclosed are a panoramic image based jump position determination method and apparatus. The method includes steps of obtaining first and second original panoramic images having the same horizontal width; performing, based on posture data of cameras respectively shooting the two original panoramic images, an adjustment process on at least one of the two original panoramic images, so as to acquire first and second panoramic images; after the adjustment process, conducting a feature extraction process regarding the two panoramic images, and choosing, based on a result of the feature extraction process, a plurality of pairs of image columns on the two panoramic images, so as to select at least one pair of first image columns from among the plurality of pairs of image columns; and determining, based on the at least one pair of first image columns, jump positions on the first and second panoramic images for jumping between the two.

Abstract: Disclosed are an image matching method and apparatus. The image matching method is inclusive of steps of obtaining a panoramic image of at least one subspace in a 3D space and a 2D image of the 3D space; acquiring a 2D image of the at least one subspace in the 3D space; performing 3D reconstruction on the panoramic image of the at least one subspace, and procuring a projection image corresponding to the panoramic image of the at least one subspace; and attaining a matching relationship between the panoramic image of the at least one subspace and the 2D image of the at least one subspace, and establishing an association relationship between the panoramic image of the at least one subspace and the 2D image of the at least one subspace between which the matching relationship has been generated.

Abstract: An image processing method includes obtaining an original image; partitioning the original image into a first part and a second part such that distortion of at least a part of an image in the first part of the original image is smaller than a predetermined threshold, and distortion of at least a part of an image in the second part of the original image is greater than or equal to the predetermined threshold; correcting the second part of the original image so as to obtain a distortion-corrected image corresponding to the second part; and recognizing the first part of the original image and the distortion-corrected image so as to recognize an object in the original image.

Abstract: A person counting method and a person counting system are provided. The method includes extracting a group of person images to obtain a first image set; dividing the first image set into first and second subsets based on whether a related image exists in a second image set, and reusing a person ID of the related image; estimating posture patterns of images in the first subset, and storing the images in the first subset into an image library based on person IDs and the posture patterns; and selecting a target image whose similarity to an image in the second subset is highest from the image library, reusing a person ID of the target image when the similarity is greater than a threshold, and assigning a new person ID and incrementing a person counter by 1 when the similarity is not greater than the threshold.

Abstract: An image processing method includes obtaining an original image; partitioning the original image into a first part and a second part such that distortion of at least a part of an image in the first part of the original image is smaller than a predetermined threshold, and distortion of at least a part of an image in the second part of the original image is greater than or equal to the predetermined threshold; correcting the second part of the original image so as to obtain a distortion-corrected image corresponding to the second part; and recognizing the first part of the original image and the distortion-corrected image so as to recognize an object in the original image.

Abstract: A person counting method and a person counting system are provided. The method includes extracting a group of person images to obtain a first image set; dividing the first image set into first and second subsets based on whether a related image exists in a second image set, and reusing a person ID of the related image; estimating posture patterns of images in the first subset, and storing the images in the first subset into an image library based on person IDs and the posture patterns; and selecting a target image whose similarity to an image in the second subset is highest from the image library, reusing a person ID of the target image when the similarity is greater than a threshold, and assigning a new person ID and incrementing a person counter by 1 when the similarity is not greater than the threshold.