![]() Non-paper objects: Most, but not all, paper is not reflective (at least in context of paper you are trying to scan).Resolution: Not all cameras are created equal - we may be dealing with cameras with sub-par resolution.It may be near dark, the flash on the camera may be on, or the sun may be shining brightly, saturating the entire image. Lighting conditions: We cannot make any assumptions regarding our lighting conditions in natural scene images.Blurring: Uncontrolled environments tend to have blur, especially if the end user is utilizing a smartphone that does not have some form of stabilization.Viewing angles: Natural scene text can naturally have viewing angles that are not parallel to the text, making the text harder to recognize.Additionally, low-priced cameras will typically interpolate the pixels of raw sensors to produce real colors. Image/sensor noise: Sensor noise from a handheld camera is typically higher than that of a traditional scanner.I’ve included a summarized version of the natural scene text detection challenges described by Celine Mancas-Thillou and Bernard Gosselin in their excellent 2017 paper, Natural Scene Text Understanding below: Natural scene text detection is different though - and much more challenging.ĭue to the proliferation of cheap digital cameras, and not to mention the fact that nearly every smartphone now has a camera, we need to be highly concerned with the conditions the image was captured under - and furthermore, what assumptions we can and cannot make. ![]() ![]() An example of such a heuristic-based text detector can be seen in my previous blog post on Detecting machine-readable zones in passport images. Import 2d.Figure 1: Examples of natural scene images where text detection is challenging due to lighting conditions, image quality, and non-planar objects (Figure 1 of Mancas-Thillou and Gosselin).ĭetecting text in constrained, controlled environments can typically be accomplished by using heuristic-based approaches, such as exploiting gradient information or the fact that text is typically grouped into paragraphs and characters appear on a straight line. Go to the " HeroActor " java class where we must create the actual functions of the movement Public class HeroUserData extends UserData īecause this tutorial is getting too long, lets just implement the movement part and let the jump and the slide for the next one. ![]() PolygonShape heroShape = new PolygonShape() įixtureDef heroFixture = new FixtureDef() īody.setGravityScale( 5F) body.resetMassData() īody.setUserData( new HeroUserData( 0.8F, 1.4F)) Īnd finally in the " box2d " package, we must create a " HeroUserData " class with the below code ![]()
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