Facial Feature Addition and Alteration

-
Facial Feature Addition and Alteration

OUTPUT:


DOCUMENTATION:

The face is one of the most important identifying characteristics for a person. As such, face recognition and detection algorithms have been the subject of hundreds of research papers, and algorithms have been designed for commercial use in digital cameras and phones. Going even further from simply detecting the face, there is now great interest in examining the details of a person’s facial features and trying to extract information from them. There are many uses for this sort of data, including physiognomic analysis1 , emotion extraction2 , and feature tracking in videophones3 . There is also some interest in being able to alter facial features, again for various reasons including the simulation of age4 . I hope to build on some of the facial feature recognition work being done to develop some less practical but more entertaining algorithms. The scribbled addition of facial hair to portraits in a newspaper of magazine is a long standing joke used in literature and TV shows. The goal of my project will be to automate and customize this practical joke, by allowing the user to submit an image with a person’s face, then letting the user choose to add a beard, moustache, or glasses to that person (or remove facial hair and/or glasses). The facial hair should be at least somewhat photorealistic, and the addition of glasses should as well. This project will be implemented in MATLAB, and the final product will be a GUI with all the different options for the user try out. The process will first involve face detection, followed by more fine grain detection of facial features in order to determine the color of location of facial hair or accessories to be added or removed.  

RELATED WORKS:

  1. Hee-Deok Yang and Seong-Whan Lee. “Automatic Physiognomic Analysis by Classifying Facial Component Feature,” 18th International Conference on Pattern Recognition (ICPR 2006), pp 1212, 2006.
  2. Kwang-Eun Ko and Kwee-Bo Sim. “Development of the facial feature extraction and emotion recognition method based on ASM and Bayesian Network,” IEEE International Conference on Fuzzy Systems, pp2063, 2009. 
  3. Zhiwei Zhu and Qiang Ji. “Robust Pose Invariant Facial Feature Detection and Tracking in Real-Time,” 18th International Conference on Pattern Recognition (ICPR 2006), pp 1092, 2006. 
  4. Lanatis, A., Taylor, C.J., Cootes, T.F. “Toward Automatic Simulation of Aging Effects on Face Images,” IEEE Transactions on Pattern Analysis and Machine Intelligence, pp 442, 2002.   

BASE PAPER: CLICK HERE

SOURCE CODE :CLICK HERE
Location: Unnamed Road, Kelliher, SK S0A 1V0, Canada

Comments

Post a Comment

Popular posts from this blog

Using Image Processing to Identify and Score Darts thrown into a Dartboard

-
Image
✔️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...
Read more

Create Pointillism Art with 3 Primary Colors from Natural Images

-
Image
Create Pointillism Art with 3 Primary Colors from Natural Images Description Pointillism is a branch of impressionism that can be dated back to the late 19th century. It is a painting technique that only uses tiny, distinct dots to form patterns of color. It enjoys a duality in being both discrete up close (the dots) and continuous from distance (the patterns). Combining this artistic inspiration with the techniques of digital image processing, we want to develop a special image filter that creates pointillism art from ordinary digital images. Plan he process of creating pointillism art will be as followed: (1) We take an image. (2) We will apply various image processing techniques to our image, such as blurring the image with a structuring element that is larger and proportional to the size of the dots we want to use in our pointil...
Read more

Chess Board Detection

-
Image
 Chess Board Detection ✔️  Introduction Chinese chess is one of the most popular board games in China. It is a two-player strategy board  game set up with 32 chess pieces on a board nine lines wide and ten lines long. The chess pieces  are all of the same flat circular disk shape. Each piece is labeled with a Chinese character to  represent one of the seven types. The color of the piece indicates the player‘s ownership. ✔️ Project Goal The goal of the proposed project is to correctly recognize the state of a Chinese chess game by  processing the images captured by the camera of an Android mobile phone. With the essential  information extracted from the images, we will be able to save and share the record of a game  very efficiently. ✔️ Work Flow To reach the goal, we need to detect the chess board, identify the location of each chess piece and  recognize the type of the piece. Chess Board Detection To ext...
Read more