Person in charge: | (-) |
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Credits | Dept. |
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7.5 (6.0 ECTS) | ESAII |
Person in charge: | (-) |
Others: | (-) |
The aim of this subject is for students to acquire an understanding of the techniques used in processing and analysing images, which are basically oriented towards controlling them and enabling interaction with the environment. They should also understand the features and limitations of the algorithms and strategies used in order to be able to design vision and image processing systems. Furthermore, in the classes they define the specifications and select the components for a system, in addition to determining its configuration. Finally, they design and develop the process algorithms needed to satisfy the requirements of each application.
Estimated time (hours):
T | P | L | Alt | Ext. L | Stu | A. time |
Theory | Problems | Laboratory | Other activities | External Laboratory | Study | Additional time |
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T | P | L | Alt | Ext. L | Stu | A. time | Total | ||
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4,0 | 1,0 | 2,0 | 0 | 2,0 | 4,0 | 0 | 13,0 | |||
introduction to various image acquisition equipment, with special reference to video cameras (which will be used in the practical work and in most of the exercises and problems). Study of image characteristics. Lighting systems. Introduction to the programme environment and the skeleton application to be developed.
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T | P | L | Alt | Ext. L | Stu | A. time | Total | ||
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2,0 | 1,0 | 2,0 | 0 | 1,0 | 3,0 | 0 | 9,0 | |||
Understanding image format and content and study of image transformation techniques at the pixel level.
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T | P | L | Alt | Ext. L | Stu | A. time | Total | ||
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5,0 | 1,0 | 4,0 | 0 | 4,0 | 8,0 | 0 | 22,0 | |||
Study and development of basic functions in binary and multi-level images at the pixel-sized level. Implementation of filters and extraction of outlines.
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T | P | L | Alt | Ext. L | Stu | A. time | Total | ||
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2,0 | 0 | 2,0 | 0 | 1,0 | 4,0 | 0 | 9,0 | |||
Classification of segmentation techniques and study of the processing techniques based on parametres, statistical calculations, structural analysis of images, etc. Algorithms for labelling the various regions obtained.
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T | P | L | Alt | Ext. L | Stu | A. time | Total | ||
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2,0 | 2,0 | 2,0 | 0 | 1,0 | 3,0 | 0 | 10,0 | |||
Study and design of algorithms for parameterizing certain characteristics of objects or regions contained in the image.
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T | P | L | Alt | Ext. L | Stu | A. time | Total | ||
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2,0 | 0 | 0 | 0 | 0 | 4,0 | 0 | 6,0 | |||
Study of object recognition techniques based on the characteristics of an object or image region.
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T | P | L | Alt | Ext. L | Stu | A. time | Total | ||
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2,0 | 0 | 0 | 0 | 0 | 2,0 | 0 | 4,0 | |||
Study of detection and localisation of scene elements from extracted characteristics or from the segmented image.
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T | P | L | Alt | Ext. L | Stu | A. time | Total | ||
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3,0 | 2,0 | 0 | 0 | 0 | 4,0 | 0 | 9,0 | |||
Study of the extraction of 3D data through stereo vision, laser triangulation, light structure or movement.
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T | P | L | Alt | Ext. L | Stu | A. time | Total | ||
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1,0 | 1,0 | 2,0 | 0 | 3,0 | 4,0 | 0 | 11,0 | |||
Study of movement detection and measurement based on image differences or optical flux in a sequence of images. Acquisition of moving images and monitoring of an object in a sequence of images.
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T | P | L | Alt | Ext. L | Stu | A. time | Total | ||
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5,0 | 3,0 | 6,0 | 0 | 4,0 | 10,0 | 0 | 28,0 | |||
Study of the working conditions, requirements and techniques found in the various fields of computer vision (with particular reference to robot guidance, inspection, detection, and dimensional measurement).
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T | P | L | Alt | Ext. L | Stu | A. time | Total | ||
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1,0 | 0 | 2,0 | 0 | 0 | 2,0 | 0 | 5,0 | |||
Identifying the need to provide an image that stresses certain characteristics in order to make it easier for someone to interpret. This is achieved by superimposing graphic elements on the sparsest areas of the image, or on areas of special interest after localising the regions to which information needs to be added.
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T | P | L | Alt | Ext. L | Stu | A. time | Total | ||
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2,0 | 0 | 4,0 | 4,0 | 2,0 | 2,0 | 0 | 14,0 | |||
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Total per kind | T | P | L | Alt | Ext. L | Stu | A. time | Total |
33,0 | 12,0 | 26,0 | 4,0 | 18,0 | 52,0 | 0 | 145,0 | |
Avaluation additional hours | 5,0 | |||||||
Total work hours for student | 150,0 |
Given that the course is design-oriented, no distinction will be made between theory classes and problems. Theory classes are supplemented with examples of real applications, illustrating design alternatives. This methodology develop students" critical faculties and learn how to make the right trade-offs in order to optimise design.
Final grade = 0.7*Theory grade + 0.3*Lab grade
Theory grade = 0.4*P + 0.6*F o F (if F > Theory grade).
P : Partial Exam
F : Final exam.
Lab grade:= The weighted average of the scores of each practice. The weight depends on the practice complexity and will be indicated at the beginning of each course.
(All grades out of 10)
Assessment of practical work
Assessment of the practical work will be based on the following:
1.Presentations in each of the above work sessions 0.3
2. Final presentation of the software produced and the resulting application. 0.5
3. Reports and the developed software 0.2
The knowledge acquired on previous courses. No additional preparation is required.