Tutorials

Basic Concepts of Image Targets

Basic Concepts of Image Targets
 


Contants
 
 




Is the Image Target a QR code?

 

Recognition images are not QR codes. The full name of QR code is "Quick Response Code," which is a type of two-dimensional barcode invented by the Japanese company DENSO WAVE in 1994 (for more information, refer to Wikipedia). The evolution of QR codes has become a significant change in recent years, gradually integrating into daily life. Nowadays, most users know that when they see a QR code, they need to "open the QR scanner" and scan it to get the relevant information. In recent years, major smartphone brands, including APPLE and GOOGLE, have started to add QR code scanning functions to their built-in cameras, which has enhanced the convenience for users in recognizing new technologies.



 

What is the concept of an Image Target? How does it work?


Regarding the identification image, it is necessary to mention a type of AR technology called "Image Target". Typically, we upload the identification image to the AR recognition system, and the system automatically determines whether the image recognition function can be achieved. If the image, like the one on the left, lacks complex elements and consists only of simple shapes such as circles and squares, then the recognition capability may be deemed "unable to recognize". If the image, like the one on the right, contains more complex design elements and content, then after the identification image undergoes processing by the image recognition system, it will provide a recognition rating of 1-5 stars. The number of stars assigned to the identification image affects the recognition speed and the stability of image tracking. Once the identification image is successfully processed, the characteristic points of the identification image can be observed in the image below. Compared to the image on the left, the image on the right has relatively higher recognition point density and recognition rating.



 

Image Target design techniques

 

For the concept of AR image target, you can start with the concept of image grayscale. If the color is lighter (lower saturation and brightness), it will also affect the recognition rate.

 

Of course, there are several techniques in designing image targets:

 
Image Target Design Techniques
  • Use more complex shapes.

  • Ensure high color contrast.

  • Recommend image resolution of "500px-1000px."

  • Image format should be "RGB 72dpi."

  • File format should be ".JPEG."

  • If there is no electronic original file, scanned files or photos taken with a smartphone can also be used.

  • Image targets are not limited to printed materials, computer screens, or mobile screens for AR scanning.



 

Why did the Image Target upload fail?


Most of the printed DMs are usually set in CMYK for color, with DPI around 150-300. To become an Image Target recognized by MAKAR, it needs to be adjusted to RGB and saved as a JPG format.

 

You can open Photoshop to confirm if the image is in RGB.



 

If you need to adjust the image format, you can choose the simplest Microsoft Paint to do so.

 

1. Open Microsoft Paint, then select "Resize."



 

2. Choose the "Content" and check if the format is correct.