CS231A Course Project Proposal Fully automated image matting with Kinect
نویسنده
چکیده
Future Distribution Permission The author(s) of this report give permission for this document to be distributed to Stanfordaffiliated students taking future courses.
منابع مشابه
CS231A Project Proposal: Real-Time Airbending
We propose to design a framework for real-time interactive physics-based simulation using state of the art motion sensing devices such as the Microsoft Kinect. The user would be able to interact with the system using simple gestures, where each gesture would have a predefined action associated with it. Unlike previous work on gesture recognition, we would like our recognition to be ‘action awar...
متن کاملCS231A Project Milestone: Real-Time Airbending
We propose to design a framework for real-time interactive physics-based simulation using state of the art motion sensing devices such as the Microsoft Kinect. The user would be able to interact with the system using simple gestures, where each gesture would have a predefined action associated with it. We would like our system to recognize logically similar gestures, i.e., gestures that represe...
متن کاملEnhancement of Learning Based Image Matting Method with Different Background/Foreground Weights
The problem of accurate foreground estimation in images is called Image Matting. In image matting methods, a map is used as learning data, which is produced by those pixels that are definitely foreground, definitely background ,and unknown. This three-level pixel map is often referred to as a trimap, which is produced manually in alpha matte datasets. The true class of unknown pixels will be es...
متن کامل3D Object Detection with Kinect
1. Abstract The goal of our project is to develop a general machine learning framework for classifying objects based on RGBD point cloud data from a Kinect. Using this framework, a robot equipped with a Kinect will take the name of an object as input, scan its surroundings, and move to the most likely matching object that it finds. As a proof of concept, we demonstrate our algorithm on an offic...
متن کاملBayesian Video Matting Using Motion Based Segmentation
Video matting attempts to extract foreground images from an image sequence, as well as the alpha-mattes that describe their transparency. This papers presents an automated video matting framework using motion-based segmentation and bayesian matting. We build upon existing techniques for layer segmentation based on optical flow to generate a coarse trimap, by identifying image pixels as belongin...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2011