Is It A Good Idea To Paint Your Room Blue? Test It Virtually With Colorjive
If you’re wondering whether it’s a good idea to paint your kitchen red, you can test it with Colorjive. It just takes a few clicks. You don’t even have to pick up a brush. You can paint virtually with Colorjive. They have got thousands of colors for you to choose from. They have a basic account that is absolutely free. With a free account, you can upload a single photo, paint three objects in that photo and save three different versions.
As they have got thousands of colors, enough to satisfy even the most demanding color “gourmet.” However, not every color can be produced in paint. If you don’t see your color, it may be because of the limitations of paint manufacturing. There are also some paint colors that don’t display properly on computer monitors.
Colorjive is not owned or operated by any paint brand. This means that they are not tied to one specific brand and can offer you the widest possible range of colors. Now, the question arise that how do you order your colors in a paint store? Don’t worry at all! You can use the color codes. The color code appears when you hover over a color swatch. Write it down and take it to your local paint store to get it mixed. Each code is brand-specific, so pick colors from the brand you want to use (if you have a preference). Most paint mixing machines can produce colors from more than one brand. The current version includes only a US (English) language version and US paint brands. If you’d like to see a Colorjive version for your own country, they are open to get your feedback.
The technology behind Colorjive is based on the idea that color involves three participants: light, surface and an observer. The quality of the light is mostly ignored and the observer isn’t even taken into consideration. Most color-matching software only takes the surface into account, using an RGB calculation. It ignores the quality of the light, and the way an observer perceives the color. The paint bucket was developed in cooperation with the University of Amsterdam. Some of the technology was originally designed to help robots recognize objects such as windows or walls.