Fundamentals of Stereo Image Recognition and Its Application to Onboard Cameras
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Technical Book: Basics of 3D Image Recognition Using Stereo Method and Its Application to Onboard Cameras *Available for preview.
<Author> Keiji Jitsuyoshi, Associate Professor (Ph.D. in Science), Isotope Division, Center for Advanced Research in Bioengineering, Tokyo Institute of Technology <Publication Date> March 23, 2007 <Format> B5 size, 135 pages <Price>: 52,290 yen (including tax) * Please refer to the table of contents for applications and case studies. * For detailed content, please download the catalog (brochure).
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basic information
The in-vehicle cameras discussed in this book are those that recognize the surrounding environment through image processing. In-vehicle cameras that involve image processing can be broadly divided into two categories. One is the monocular method, which uses a single camera to determine the relative speed of objects in view and the distance to those objects by utilizing the movement of the camera itself, which is influenced by lane markings, signs, and the movement of the vehicle. The other is the stereo method, which uses two cameras to capture the vehicle's surrounding environment in three dimensions, allowing for three-dimensional measurement of the position, size, and shape of objects. This book primarily focuses on the stereo method among the two. Although there are still issues regarding cost and vehicle integration compared to the monocular method, significant advancements are expected for in-vehicle cameras in the future. The advantages of the stereo method will be discussed later.
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52,290 yen (including tax)
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Applications/Examples of results
Chapter 1: Why Mount Cameras on Automobiles 1. The Relationship Between Automobiles and Safety 2. Mechanisms to Prevent Collision Accidents as Much as Possible 3. Required Performance of Image Sensors 4. Advantages of Image Recognition Chapter 2: 2D Image Processing 1. Smoothing 2. Edge Detection 3. Hough Transform 4. Grouping Chapter 3: Basics of Stereo Cameras 1. Image Acquisition by Onboard Cameras 2. Flow of Stereo Image Processing 3. Camera Geometry 4. Matching Methods Chapter 4: Surrounding Environment Recognition Using Stereo Cameras Section 1: Lane Detection Section 2: Detection of 3D Objects and Leading Vehicles Section 3: Object Tracking Section 4: Model Fitting Chapter 5: Real-Time Stereo Cameras 1. Parallel Processing 2. Utilization of FPGA Chapter 6: Technologies for Practical Application 1. Correction and Calibration 2. Issues with Luminance Differences 3. Occlusion Chapter 7: More Advanced Techniques Section 1: 3D Self-Localization Section 2: Normal Vector Extraction Section 3: Sub-Pixel Accuracy
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