Database construction method, augmented reality fusion tracking method and terminal equipment
A technology of augmented reality and construction methods, which is applied in image data processing, still image data indexing, still image data retrieval, etc., can solve problems that cannot meet the actual needs of AR technology, achieve accurate and simple image comparison, and improve accuracy Effect
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Embodiment 1
[0063] Such as figure 1 As shown, the embodiment of the present invention provides a database construction method, including:
[0064] S1, collecting standard template images;
[0065] The terminal device turns on the camera, takes pictures of the template image, and obtains the template image, or can also use an existing image or a synthesized image stored in a computer or mobile phone as a template image. The so-called template image refers to the image of the object to be recognized. Images, such as plane images represented by books and magazine covers, can also be other images, such as portraits of people or animals, pictures of scenic spots, photos of natural scenery, etc. The aforementioned objects to be identified can also be Images that can be fused with virtual content, etc. The so-called standard template image refers to the image taken of the object to be recognized in an ideal environment, such as the flat image represented by the cover of a book or magazine, whic...
Embodiment 2
[0089] An embodiment of the present invention provides an augmented reality fusion tracking method, including:
[0090] 200. Construct a standard template image database. In the embodiment of the present invention, the method as described in Embodiment 1 is used to construct the standard template image database, and this embodiment will not repeat it;
[0091] 201. To collect images in a real scene, the image captured by the terminal device in a real scene may be called the first image, specifically:
[0092] The camera of the terminal device shoots images in the real scene. The images in the real scene can be specific objects such as books, tables and chairs, portraits of people or animals, natural scenery, business cards, pictures, etc. flat object. Images in real scenes may be affected by angle, size, lighting, etc. when shooting, and even in some cases, the image is partially occluded, so the first image will generally be higher than the standard in terms of pixels, size,...
Embodiment 3
[0118] Such as Figure 5 As shown, the embodiment of the present invention provides a terminal device, including a receiving unit 501, an image processing unit 503, an image matching unit 505, and a tracking fusion unit 507, wherein:
[0119] The receiving unit 501 is configured to receive a first image, where the first image is an image in a real scene captured by the terminal device when performing fusion tracking;
[0120] The image processing unit 503 is configured to form W+1 layers of images after scaling the first image W times, wherein W is a natural number; extract feature points on each layer of images, and count each feature point in each layer of images The number of occurrences above, and the feature point with the number of occurrences U is called the third strong feature point, and the U is a natural number less than or equal to W+1;
[0121] The image matching unit 505 calculates the feature vector of the third strong feature point, compares the feature vector...
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