Image-Based Experience Is Flickering / Unstable / Disappears

Image recognition relies on the amount of distinctive features (tracking points) the camera can identify in your target image. If the content of your experience keeps flickering, floating or disappearing when you move the camera around, it means that your image doesn't have enough distinctive features.

Here are some characteristics that can help you improve the trackability of your image:

1

High Contrast. The difference between the tones helps to identify more key points in an image. Using gradients and low tonal ranges might decrease the tracking performance.

2

Unique Shapes. Identical or similar shapes and patterns make it harder for the camera to understand which part of the image it's pointed at. Using a variety of unique shapes makes it easier to identify your image.

3

Large Amount of Details. Numerous elements gradually distributed across the surface of the image make it more identifiable from different angles and focus distances. Placing the main elements in the center of the image and leaving a lot of blank space around it tends to decrease the tracking performance.

4

Angular Shapes. Rectangles, triangles and other angular shapes have a lot of distinctive features and are easily identifiable by the camera. Circles, ellipses and other rounded shapes do not produce any tracking points and tend to decrease the performance.

5

Angular Shapes. Rectangles, triangles and other angular shapes have a lot of distinctive features and are easily identifiable by the camera. Circles, ellipses and other rounded shapes do not produce any tracking points and tend to decrease the performance.

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