✔️Using Image Processing to Identify and Score Darts thrown into a Dartboard ✔️Introduction The game of darts is a throwing sport in which participants toss projectiles into a circular target attached to a vertical surface. The target is divided into many regions which correspond to different point and multiplier values. Darts is commonly played across North America and Europe and is a popular past time for many so an application that allows players to more conveniently keep score would be widely beneficial. “Darts” is a general term for a targeting game following this basic premise and many game variations exist within this archetype; all utilizing the standard dart projectiles with a regulation dart board. Each game variant may have different objectives for which players to aim but identifying the region in which the dart has hit in the dartboard is necessary for proper scoring. This project proposes the use of image processing to identify thrown da...
Android-Based Digital Image Steganography and Steganalysis OUTPUT OVERVIEW Steganography is the discipline concerned with achieving confidential communication by hiding information in plain sight. Media for hiding this information include images, video, audio and markup languages (Papapanagiotou et al. 2005). Steganographic schemes typically exploit information redundancies which are not easily perceptible. Digital images tend to exhibit such redundancy, and thus are a popular medium for steganography. Throughout the years, many different methodologies have been proposed in the literature, of which steganographic schemes like F5, OutGuess or Yet Another Steganographic Scheme (YASS) are a sample. While some steganographic techniques operate in the primal domain, the majority of newer techniques utilize the frequency domain to conceal information. F5,OutGuess and YASS occupy this group, embedding the information to hide in the image’s discrete cosine transform (DCT) coeffic...
Digital Make up Face Generation Goal Current make-up applications rely on using photoshop tools to apply makeup on the target's digital faces and generate results. While these applications allow customization, a customer who wants to quickly decide on the type of makeup kit to buy at a store will not find it useful. The customer might just want to find out how the make-up look on the cover or billboard will look like on her face. The goal of this project is to use an existing reference image of another subject with a make-up applied, and transfer the reference's make up on the target's face. The application can be further extended to photo retouching and illumination transfer from the reference image to the target. Methodology In order to transfer the make-up from the reference onto target in a pixel by pixel basis, the areas of interest must align. Face features such as eyes, nose, mouth and contours of the face, will be recogniz...
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