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Course: 236754 (Project in intelligent systems) or 236874 (Project in computer vision) (3 points)
Instructors: Yehonatan Goldman
Number of students: 2
prerequisites: Computer Vision and/or Image Processing 

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On-board cloud detection using Nano-satellites

Course: 236754 (Project in intelligent systems) or 236874 (Project in computer vision) (3 points)
Instructors: Eviatar Edlerman
Number of students: 2
prerequisites: Computer Vision and/or Image Processing

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Using Deep Learning to Estimate the Gradient and Curvature of Image Patches

Course: 236754 (Project in intelligent systems) or 236874 (Project in computer vision) (3 points)
Instructors: Prof. Micha Lindenbaum and Elad Osherov
Number of students: 2
prerequisites: Computer Vision and/or Image Processing 

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Using Deep Learning on Point Clouds for Object Classification and Geometric Analysis

Course: 236754 (Project in intelligent systems) or 236874 (Project in computer vision) (3 points)
Instructors: Prof. Micha Lindenbaum and Elad Osherov
Number of students: 2
prerequisites: Computer Vision and/or Image Processing 

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Using curves for image registration to aid 3D reconstruction

Course: 236754 (Project in intelligent systems) or 236874 (Project in computer vision) (3 points)
Instructor: Elad Osherov
Number of students: 2
prerequisites: Computer Vision and/or Image Processing 

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Create Android/IPhone app to control DSSL robo-sats

Course: 236754 (Project in intelligent systems) (3 points)
Instructor: Eviatar Edlerman
Number of students: 2
prerequisites: Android or Iphone development skills

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Software integration with SAMSON nano-satellite

Course: 236754 (Project in intelligent systems) (3 points)
Instructor: Eviatar Edlerman
Number of students: 2
prerequisites: C++ skills 

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Downing Quads

Course: 236754 (Project in intelligent systems) or 236874 (Project in computer vision) (3 points)
Instructor: Hector Rotstein
Number of students: 2
prerequisites: Computer Vision and/or Image Processing

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Virtual Reality System for Active Classification of Person Identity

Course: 236754 (Project in intelligent systems) or 236874 (Project in computer vision) (3 points)
Instructor: Igor Kviatkovsky
Number of students: 2
prerequisites: Computer Vision and/or Image Processing 

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Deep learning for smart home automation

Course: 236754 (Project in intelligent systems) or 236874 (Project in computer vision) (3 points)
Instructor: Prof. Alex Bronstein
Number of students: 2
prerequisites: Computer Vision and/or Image Processing

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Multi-Agent Simulation App for Android

Course: 236754 (Project in intelligent systems) or 236874 (Project in computer vision) (3 points)
Instructor: David Dovrat
Number of students: 2

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Aerial Swarm

Course: 236754 (Project in intelligent systems) or 236874 (Project in computer vision) (3 points)
Instructor: David Dovrat
Number of students: 2
prerequisites: C++ proficiency, Some Arduino experience 

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Collaborative Multi-Robot Aerial Autonomous Navigation and 3D Reconstruction

Course: 236754 (Project in intelligent systems) or 236874 (Project in computer vision) (3 points)
Instructor: Assist. Prof. Vadim Indelman, Asaf Feniger 

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Autonomous Multi Robot Collaborative Exploration (Mapping)

Course: 236754 (Project in intelligent systems) (3 points)
Instructor: Amit Moran (Intel), Assist. Prof. Vadim Indelman
Number of students: 2
prerequisites: Programing skills – C++, Python, ROS

 

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Diagnostic Tools for an AUV

Course: 236754 (Project in intelligent systems) (3 points)
Instructor: David Dovrat
Number of students: 2
prerequisites: C++ skills

 

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Augmented reality for campus orientation

Course: 236754 (Project in intelligent systems) or 236874 (Project in computer vision) (3 points)
Instructor: Yair Atzmon
Number of students: 2
prerequisites: Computer Vision and/or Image Processing

 

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פרויקט בעיבוד וניתוח תמונות - 234329

קורס: 234329 - פרויקט בעיבוד וניתוח תמונות (4 נקודות)

אחראי: מיכה לינדנבאום (This email address is being protected from spambots. You need JavaScript enabled to view it.)

דרישות קדם: מומלץ קורס כלשהו בעיבוד תמונות ו\או למידה. תלמידים טובים היכולים להתמודד לבדם עם נושאים חדשים, יכולים להרשם גם ללא מקצועות אלו. 

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