You might also like

More about Visual Scene Understanding from Mobile Platforms

• Book details
• Synopsis
• Trending among others

You get 222 loyalty points

Book synopsis

Visual scene understanding is one of the ultimate goals in computer vision and has been in the field's focus since its early beginning. Despite continuous effort over several years, applications such as autonomous driving and robotics are still subject to active research. In recent years, improved probabilistic methods became a popular tool for state-of-the-art computer vision algorithms. Additionally, high resolution digital imaging devices and increased computational power became available. By leveraging these methodical and technical advancements current methods obtain encouraging results in well defined environments for robust object class detection, tracking and pixel-wise semantic scene labeling and give rise to renewed hope for further progress in scene understanding for real environments. This book improves state-of-the-art scene understanding with monocular cameras and aims for applications on mobile platforms such as service robots or driver assistance for automotive safety. It develops and improves approaches for object class detection and semantic scene labeling and integrates those into models for global scene reasoning which exploit context at different levels.

Book details

Book category Books in English Computing & information technology Information technology: general issues

• Full title: Visual Scene Understanding from Mobile Platforms
• Subtitle: A Monocular Approach
• Author: Christian Wojek
• Language: English
• Binding: Paperback
• Number of pages: 168
• EAN: 9783838120492
• ISBN: 3838120493
• ID: 07148924
• Publisher: Sudwestdeutscher Verlag Fur Hochschulschriften AG
• Weight: 254 g
• Dimensions: 229 × 152 × 10 mm
• Date of publishing: 22. September 2010

Trending among others

---

---

---