Huawei Technologies Co., Limited

Tencent Technology (shenzhen) Company Limited

Zijin Yuan

Yong Tian

Changqi Hu

Weihua Jian

Embodiments of this application disclose an image splicing method and apparatus, a terminal, and a storage medium thereof. The image splicing method includes determining a primary position parameter of a current image according to a first overlapped region in the current image; and projecting the current image to a projection canvas according to the primary position parameter to obtain an initial spliced image, the initial spliced image being obtained by splicing the current image and the neighboring image. The method further includes selecting a partially overlapped region from a second overlapped region of the initial spliced image; calculating a partial position parameter of a partial image region corresponding to the partially overlapped region in the current image; and projecting the current image to the projection canvas again according to the primary position parameter and the partial position parameter, to obtain a target spliced image.

Image splicing method, apparatus, terminal, and storage medium

A wide-area image acquiring method which includes capturing a global image in a preset wide-area visual area, capturing at least two partial images whose definition is preset and that are in the preset wide-area visual area, where the global image covers at least an overlap portion of view ranges of the partial images in the preset wide-area visual area, and a sum of the view ranges of the at least two partial images is greater than or equal to a view range of the global image, determining, in the global image, positions of edges of the partial images, based on same shot objects in the partial images and the global image, and performing splice processing on the at least two partial images according to the positions of the edges, to obtain a composite wide-area image of the wide-area visual area.

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Shenzhen, China

Zijin Yuan