Essays about: "haar-like features"
Showing result 1 - 5 of 9 essays containing the words haar-like features.
-
1. Synthesizing Training Data for Object Detection Using Generative Adversarial Networks
University essay from Lunds universitet/Matematik LTHAbstract : Object detection is an important tool in computer vision and a popular application of machine learning. One of the main challenges in object detection, and machine learning in general, is acquiring sufficient training data. READ MORE
-
2. Implementation of an object-detection algorithm on a CPU+GPU target
University essay from KTH/Skolan för informations- och kommunikationsteknik (ICT)Abstract : Systems like autonomous vehicles may require real time embedded image processing under hardware constraints. This paper provides directions to design time and resource efficient Haar cascade detection algorithms. It also reviews some software architecture and hardware aspects. READ MORE
-
3. Visual Vehicle Identification Using Modern Smart Glasses
University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)Abstract : In recent years wearable devices have been advancing at a rapid pace and one of the largest growing segments is the smart glass segment. In this thesis the feasibility of today’s ARM-based smart glasses are evaluated for automatic license plate recognition (ALPR). READ MORE
-
4. Towards a Video Annotation System using Face Recognition
University essay from Institutionen för datavetenskapAbstract : A face recognition software framework was developed to lay the foundation for a future video annotation system. The framework provides a unified and extensible interface to multiple existing implementations of face detection and recognition algorithms from OpenCV and Wawo SDK. READ MORE
-
5. Texture Feature Analysis of Breast Lesions in Automated 3D Breast Ultrasound
University essay from Institutionen för informationsteknologiAbstract : This thesis investigated a variety of texture features performances on classifying and detecting breast lesions in automated 3D breast ultrasound (ABUS) images with computer-aided diagnosis and detection system. Regions detected by the computer-aided detection system could be categorized into benign and malignant classes, which are supposed to have different texture features. READ MORE