CUNY CSC I6716 - Computer Vision Project Topics (15 pages)

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Computer Vision Project Topics



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Computer Vision Project Topics

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Pages:
15
School:
The City University of New York
Course:
Csc I6716 - Computer Vision

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Computer Vision Project Topics CSc I6716 Spring2011 Project Reports 1 Introduction problem Why with real world applications 2 Related Work What has been done with a few references 3 Your Approach How you are going to do it with algorithms equations figures 4 Your Implementation and Analysis What you do with images tables and numbers 5 Your Conclusions Itemized conclusions observations and discussions All Reports in hard copy due May 17 2011 before class hard deadline Each student has 10 minutes 8 talk 2 QA x 15 students 2 5 hours 2 Rubik cube recognition Team Jay Junjie Yao Felix Cen Wahyu Jati Nugroho Key Components Edge detection an initial detection of the cube object Color detection scan the color cells for each visible side Feature extraction detect all small squares and cube features 3D localization and orientation Implementation Java and OpenCV JavaCV You need to specify contributions of each 3x 3 Car recognition in images Team Nikolaos Markou Key Components object learning and recognition Where is 3D and perspective geometry Implementation Maybe car distance and orientation estimation A Robust Shape Model for Multi View Car Alignment Yan Li Leon Gu and Takeo Kanade The IEEE International Conference on Computer Vision and Pattern Recognition June 2009 4 Image searching Team Jianfang Li Could you team up with Nikolaos Markou Key Components The project is to find a target image from bunch of images by scale invariant feature transform SIFT This is too broad and vague lack details How does this have anything to do with 3D vision Are you dealing with perspective distortion 5 Detection of possible cancer using computer vision Team Carlo Garcia Razia Sultana Key Ideas A High Resolution picture of a histology slides and a pathologist uses some staining techniques under a microscope to determine the average intensity by sections of the high resolution image How can computer vision help Image registration of images before and after 6 Detection of stairs Team Franqueli



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