MOOC
Introduction to Object-Oriented Programming in C++
Description
Ce cours introduit la programmation orientée objet en l'illustrant en langage C++. Il présuppose connues les bases de la programmation (variables, types, boucles, fonctions, ...). Il est conçu comme la suite du cours «Initiation à la programmation (en C++)».
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Ontological neighbourhood
Instructors (2)
Lectures in this MOOC (35)
Introduction to Object-Oriented Programming in C++MOOC: Introduction to Object-Oriented Programming in C++
Covers the basics of object-oriented programming in C++, emphasizing the importance of practice.
Introduction to Object-Oriented ProgrammingMOOC: Introduction to Object-Oriented Programming in C++
Covers the basics of object-oriented programming in C++, including encapsulation, abstraction, and the importance of grouping data and methods.
Object-Oriented Programming in C++MOOC: Introduction to Object-Oriented Programming in C++
Covers classes, objects, attributes, methods, and encapsulation in C++ programming, emphasizing the importance of encapsulation and abstraction.
Object-Oriented Programming in C++MOOC: Introduction to Object-Oriented Programming in C++
Covers encapsulation, accessors, mutators, attribute shadowing, and 'this' pointer in C++.
Encapsulation in C++MOOC: Introduction to Object-Oriented Programming in C++
Explores encapsulation in C++, covering class implementation, access control, and method externalization.
Related concepts (134)
Lausanne
Lausanne (loʊˈzæn , USalsoloʊˈzɑːn , lɔzan; Losena lɔˈzəna) is the capital and largest city of the Swiss French-speaking canton of Vaud. It is a hilly city situated on the shores of Lake Geneva, about halfway between the Jura Mountains and the Alps, and facing the French town of Évian-les-Bains across the lake. Lausanne is located northeast of Geneva, the nearest major city. The municipality of Lausanne has a population of about 140,000, making it the fourth largest city in Switzerland after Basel, Geneva, and Zurich, with the entire agglomeration area having about 420,000 inhabitants (as of January 2019).
Lausanne District
Lausanne District (District de Lausanne) is a district in the canton of Vaud, Switzerland. The seat of the district is the city of Lausanne. Lausanne has an area, , of . Of this area, or 27.3% is used for agricultural purposes, while or 30.9% is forested. Of the rest of the land, or 41.6% is settled (buildings or roads) and or 0.1% is unproductive land. Lausanne has a population () of . Most of the population () speaks French (159,559 or 79.6%), with German being second most common (8,534 or 4.
3D pose estimation
3D pose estimation is a process of predicting the transformation of an object from a user-defined reference pose, given an image or a 3D scan. It arises in computer vision or robotics where the pose or transformation of an object can be used for alignment of a computer-aided design models, identification, grasping, or manipulation of the object. The image data from which the pose of an object is determined can be either a single image, a stereo image pair, or an image sequence where, typically, the camera is moving with a known velocity.
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Related publications (428)
Aggregating Spatial and Photometric Context for Photometric Stereo
Photometric stereo, a computer vision technique for estimating the 3D shape of objects through images captured under varying illumination conditions, has been a topic of research for nearly four decades. In its general formulation, photometric stereo is an ...
EPFL2024Fast and Future: Towards Efficient Forecasting in Video Semantic Segmentation
Deep learning has revolutionized the field of computer vision, a success largely attributable to the growing size of models, datasets, and computational power.Simultaneously, a critical pain point arises as several computer vision applications are deployed ...
EPFL2024Advancing Self-Supervised Deep Learning for 3D Scene Understanding
Recent advancements in deep learning have revolutionized 3D computer vision, enabling the extraction of intricate 3D information from 2D images and video sequences. This thesis explores the application of deep learning in three crucial challenges of 3D com ...
EPFL2024