DOWNLOAD FREE PROJECTS | ENGINEERING NOTES | PLACEMENT NOTES | MATLAB AND ANDROID PROJECTS

wide field preprocessed images with multiple projectors ✔️   DESCRIPTION We demonstrate image processing algorithms that achieve the distortion-corrected projection on surfaces with horizontal discontinuity, with casually placed camera and projector. Image pre-warping is used to achieve any projector keystone correction and screen geometry correction. This project involves one projector (Epson H382F, aspect ratio 4:3), a right-angled corner (or a folder/curved paper screen), a camera and a control laptop. This project doesn’t involve Android devices. With algorithm modification to achieve geometry registration and photometric alignment between  projectors, users can project extremely wide field preprocessed images with multiple projectors. This  algorithm may also be modified for projectors located at the back of the projection screen. It has application in art visualization, Head-Up Displays, and virtual/augmented reality. ✔️   Step 1 Flat Screen Pro...

Image segmentation system for brain MRI images  by integrating and adapting existing segmentation techniques ✔️   Overview ✔️   Background and Context Developments in finite element method (FEM) simulation and additive manufacturing (3D printing) stand to revolutionize neuromechanics and neurosurgery. FEM simulation allows for efficient simulation of mechanical deformation of brain tissue, which is useful in analyzing  brain injury and defects [3]. Similarly, additive manufacturing opens up the possibility of cre ating physically-accurate brain analogues for analysis and neurosurgery training. However,  the primary bottleneck in this workflow is efficiently segmenting MRI images for conversion  to a finite element mesh or printable STL file. While there are commercial medical image  processing software packages available, these are often expensive and still require the user  to manually segment much of the image. ✔️ ...

Object monitering via adaptive prediction of initial search point OUTPUT Goal The goal of this project would be to implement the mapping portion of SLAM, i.e. to develop a mobile application that could create a planar grid given a known reference, then track an object along that grid. In order to constrain the object field, the camera will be fixed, and the object shall be a cube (although the object location given will be strictly planar). The first step would be to create the grid in the first place, then try and detect the object and track it. Approach Tracking an object is difficult because a camera could be easily distracted by local maxima in similarity. Pan et al, however, developed a method for robustly tracking an object by using a Kalman filter to determine the next location of a traveling object [1]. In the test results, it could accurately detect the location of a car traveling down a highway. From here, the location of the object in the image could be augme...

Emotion Detection Through Facial Feature Analysis OUTPUT Motivation For humans, understanding and identifying emotions can be extremely interesting and  useful, as genuine emotions are at most only partially controllable and often display their  presence through facial expressions of the person experiencing them. A person’s emotions  can sometimes be very distinct and obvious and at other times may very transient and  difficult to notice; however, as long as their cues are visually present, it ostensibly  possible for a computer to perform image processing and classification of that expression.  There are many applications, ranging from entertainment, social media, criminal justice, to healthcare where the automated ability to process and detect emotion of a person can have functional benefits. For example, content providers can judge a person’s authentic  and immediate emotional response and tune their product accordingly, or health...

Instant Camera Translation and Voicing Output Goals: Develop an Android app for signs translation from English to Chinese or other  foreign languages with auto voicing. Useful for sign recognition at airport or on  road, menu translation while dining at a restaurant, guide translation at tourist  attractions, text translation while reading a book. Help foreigners to guide and  enjoy themselves when travelling in the states without the hassle of opening a  digital dictionary and typing in the text. Sometimes, when typing we could easily  mistake one letter or another and we want to avoid any mistake by recognizing the  words directly. Just focus your camera and get the translation popping out  immediately! In addition, we will also test the performance of our app on the  database of signs. We’ll also conduct field test of the app at airports and inside  buildings. Plans :  Clean the image and segment the text part o...

Traffic Sign Recognition for Vision-based Driver Assistance in Land-based Vehicles OUTPUT: Motivations Autonomous vehicle has been an active area of research for a few decades. And  intensive research has been done on using a front viewing camera for vehicle  localization and navigation, environment mapping, and obstacle avoidance. In this  project, I want to look into various digital-image-processing algorithms for  detection and classification of traffic signs, and compare the performance under  different image qualities.  Objectives The main objective of this project is to successfully detect traffic signs from a  stationary image of a normal street scene. The algorithm should also be able to  extract features from the traffic signs and find the best match from predefined  templates. The algorithm should also be robust towards variation of the quality of  the images. Potential Challenges Depending on the q...

Reviews using Optical Character Recognition on Restaurant Signs  OUTPUT:       DOCUMENTATION:       BASE PAPER:       SOURCE CODE: CLICK HERE

Feature Tracking   OUTPUT:       DOCUMENTATION:       BASE PAPER:       SOURCE CODE: CLICK HERE

Implementing a Visual Masking Model OUTPUT:   DOCUMENTATION:   BASE PAPER:   SOURCE CODE: CLICK HERE

Chroma Upsampling from Motion OUTPUT:   DOCUMENTATION:   BASE PAPER:   SOURCE CODE:  CLICK HERE

Robust Door Detection OUTPUT:   DOCUMENTATION:   BASE PAPER:   SOURCE CODE:    CLICK HERE