Menu
All Courses / undefined
All Courses / undefined / undefined
Introduction to Camera Systems Using C++
8 weeks long course | 100% Online
Learn from leading experts in the industry
Project based learning with 2 industry level projects that learners can showcase on LinkedIn.
Syllabus
This course is full of best-in-class content by leading faculty and industry experts in the form of videos and projects
Course Overview
- The students will learn about camera systems used in ADAS/Autonomous Driving Vehicles in the industry.
- During the coursework, the students will learn the following concepts:
- Camera Study
- Construction of Cameras
- Projective Geometry and Stereo Vision
- Image Processing
- During the coursework, the students will learn about camera calibration, image processing techniques like filtering, smoothening, and gradient-based techniques.
- The students are exposed to the modern trends and standard practices being followed in the industry right now.
- This course forms the foundation for anyone wanting to pursue a career in the domain.
Course Syllabus
On a daily basis we talk to companies in the likes of Tata Elxsi and Mahindra to fine tune our curriculum.
week 1 - Camera Construction
The following modules are discussed:
- Introduction to Geometrical Construction
- Introduction to Optical Construction
- Introduction to Camera Types
- Camera Sensor Types – CCD, CMOS
- Camera Sensor Types – RGGB, RCCB, RCCC
- Different Lens Types – Normal vs Fisheye
- Optical Parameters – Exposure Time, Shutter, White Balance, Gain
week 2 - Camera Models
The following modules are discussed this week :
- Different Camera Models
- Pin hole model, Perspective model, fisheye model
- Lens Distortion – Barrel /Radial, Pin Cushion
- Depth Of Field , Field of View
- Effects on changing aperture
week 3 - Camera Calibration
The following modules are discussed this week :
- Camera Calibration
- Introduction to Camera Parameters
- Calibration Techniques
- Calibration for Intrinsic vs Extrinsic
- Image Undistortion
week 4 - Projective Geometry
The following modules are discussed this week :
- Introduction to Projective Geometry
- What is Lost / Preserved ?
- Vanishing Lines & Points
- Dimensionality Reduction
- World to Image Projection
- Orthographic Projection
week 5 - Stereo Vision
The following modules are discussed this week :
- Introduction To Stereo Vision
- Basic Idea of Stereo
- Epipolar Geometry
- Image rectification
- Stereo Correspondence
- Disparity Maps
- Depth Maps
week 6 -Camera Systems
The following modules are discussed this week :
- Low FOV Long range cameras
- Stereo Camera
- FLIR Camera
- Fisheye Camera – Continental
- Camera Parameters
- Different Uses for each of them
week 7 - Image Pre-Processing
The following modules are discussed this week :
- Image Color Spaces
- Color Space conversions (RAW -> RGB, RGB-> GRAYSCALE, RGB->YUV , …)
- Image Digitization, Sampling, Quantization
- Image Interpolation, Extrapolation
- Image Normalization
- Image Noise – Salt and Pepper noise, Gaussian Noise , Impulse Noise
- Image Erosion/Dilution
week 8 - Image Processing -1 (Transformations)
The following modules are discussed this week :
- Basic Transformations and Filtering
- Domain Transformations
- Noise Reduction
- Filtering as Cross Correlation
- Convolution
week 9 - Image Processing -2
The following modules are discussed this week :
- Basic Image Filtering and Detection techniques
- Corners Detection
- Edge Detection
- Contour Detection
- Image Thresholding Histogram
- Histogram Equalization
week 10 - Image Processing -3
The following modules are discussed this week :
- Features and Image Matching
- Image Features, Invariant Features (Geometrical, Photometric Invariance)
- Image Descriptors
- HOG
- SIFT
- SURF
- Image Stitching
week 11 - Image Processing - 4
The following modules are discussed this week :
- Introduction to Structure from Motion (SFM)
- Epipolar Constraint and Essential Matrix
- 3d Reconstruction
- Bundle Adjustment
- SVD approach to SFM
- SLAM example
week 12- Introduction to Embedded Systems
The following modules are discussed this week :
- Camera Interfaces. Ex : GMSL, LVDS
- Communication Protocol – I2C
- Camera Initialization Sequence
- Automated Exposure Gain (AEG) Control
- Vision Processing Units (VPU)
- Graphic Processing units
Our courses have been designed by industry experts to help students achieve their dream careers
Industry Projects
Our projects are designed by experts in the industry to reflect industry standards. By working through our projects, Learners will gain a practical understanding of what they will take on at a larger-scale in the industry. In total, there are 2 Projects that are available in this program.
Immersion of practical knowledge of camera system concepts on datasets in detail
Implementation of basic SLAM algorithm
Our courses have been designed by industry experts to help students achieve their dream careers
Ratings & Reviews by Learners
Skill-Lync has received honest feedback from our learners around the globe.
Instructors profiles
Our courses are designed by leading academicians and experienced industry professionals.
1 industry expert
Our instructors are industry experts along with a passion to teach.
5 years in the experience range
Instructors with 5 years extensive industry experience.
Areas of expertise
- Autonomous Vehicle Controls
Similar Courses
Got more questions?
Talk to our Team Directly
Please fill in your number & an expert from our team will call you shortly.