With this function you can construct your weekly calendar of lessons, which is customized on the basis of the courses that you intend to follow. Warning: the personal schedule does not replace the presentation of the study plan! It's an informal tool that can help you better manage the organization of class attendance before the study plan presentation. After the study plan presentation we recommend you to use the Lecture timetable service in your Online Services.
To create your customized schedule follow these instructions:
- Click on the "Enable" link to proceed. You will be asked your surname and first name in order to determine your alphabetic grouping.
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To add or remove courses from your personal schedule, use the small icons which are found next to the courses:
addition of the course
removal of the course
selection of the section of the Laboratory of Architecture (Note: the effective area in which the teaching will be carried out will be determined after the presentation of the Study Plans)
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The sidebar on the left displays the number of lessons included in schedule.
There are also these commands:
View the schedule: allows the viewing of the weekly synoptic schedule
Delete the schedule: cancels the selections made
When you have finished the entry, you can print the calendar you have made.
Semester (Sem) | 1 | First Semester | 2 | Second Semester | A | Annual course | Language |  | Course completely offered in italian |  | Course completely offered in english | -- | Not available | Innovative teaching |  | The credits shown next to this symbol indicate the part of the course CFUs provided with Innovative teaching. These CFUs include:
- Subject taught jointly with companies or organizations
- Blended Learning & Flipped Classroom
- Massive Open Online Courses (MOOC)
- Soft Skills
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Academic Year
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2017/2018
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School
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School of Industrial and Information Engineering
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Name
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(Master of Science degree)(ord. 270) - BV (479) Management Engineering
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Track
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EEM - ENERGY AND ENVIRONMENTAL MANAGEMENT
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Programme Year
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2
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ID Code
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097454
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Course Title
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COMPUTER VISION AND REVERSE ENGINEERING
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Course Type
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Mono-Disciplinary Course
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Credits (CFU / ECTS)
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6.0
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Semester
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Second Semester
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Course Description
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Brief description of the subjects
Starting from an overview on the human vision modeling, the course shows the relationship between an ideal perspec-tive image and the corresponding three-dimensional scene. The characteristics of a real image-capturing device, such as a digital photo camera, are then highlighted, analyzing how the different optical and electronic components tend to change the acquired image with respect to the ideal one, and how such changes can be mathematically modeled through a calibration process. Starting from calibrated images, techniques for relative orientation, intersection and scaling according to some metric references on the scene are then shown. The course, then, introduces the functioning principles of the different active range sensors currently available on the market, categorizing them in a general framework and specifying accordingly their metrological characteristics. The course provides a set of rules for properly employing this kind of equipment in the 3D digitization of an object surface, in order to reliably generate a cloud of 3D points representing its spatial sampling. The course gives also the skills needed for planning a 3D acquisition project with a set of range maps taken from different orientations, keeping into account possible artifacts due to different light-to-material interactions produced by wrong orientations between the 3D sensor and the surface to be imaged. The course shows also the 3D pipeline for digitally manipulating the raw 3D data up to the final mesh model through registration, merge and mesh editing. In order to effectively provide these skills, the course foresees the execution of an exercise for capturing geometric elements on a real 3D scene starting from 2D images (passive devices). Groups of students will be asked to produce a substantial amount of practical work both in a 3D lab and on computers in order to post-processing their own images with specific software packages. Afterwards, the course involves the students in an analogous 3D capturing exercise of a real object with active devices, where groups of students will work both in a 3D lab and on computers for the post-processing of the acquired 3D data. The technologies shown as theoretical units in the first part of the course are therefore experimented in practical applications so as to allow the students to directly interact with the whole Reverse Engineering process based on both passive 3D acquisition with Computer Vision techniques, active 3D acquisition, 3D processing, 3D model generation and presentation.
Synthesis of the subjects
Theoretical introduction. Coordinate systems and related operations. 3D data extraction from ideal 2D images. Real image capturing systems. 3D data extraction from real 2D images (passive 3D). Active 3D imaging systems based on angular measurements. Active 3D imaging systems based on measurement of distances. Integration of complementary 3D capture methods. Principles of 3D metrology. 3D model generation through Computer Vision. 3D model generation through active range imaging. Overview of industrial applications. Workshop for groups of 2-3 students.
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Scientific-Disciplinary Sector (SSD)
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Educational activities
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SSD Code
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SSD Description
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CFU
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--
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ING-IND/15
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DESIGN METHODS FOR INDUSTRIAL ENGINEERING
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6.0
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Schedule, add and remove | Alphabetical group | Lecturer(s) | Language | Teaching Assignment Details |
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From (included) | To (excluded) |
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--- | A | ZZZZ | Micoli Laura Loredana |  |  |
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