Sökning: "haar-like features"
Visar resultat 1 - 5 av 9 uppsatser innehållade orden haar-like features.
1. Synthesizing Training Data for Object Detection Using Generative Adversarial Networks
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : 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. LÄS MER
2. Implementation of an object-detection algorithm on a CPU+GPU target
Uppsats för yrkesexamina på avancerad nivå, KTH/Skolan för informations- och kommunikationsteknik (ICT)Sammanfattning : 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. LÄS MER
3. Visual Vehicle Identification Using Modern Smart Glasses
Master-uppsats, KTH/Skolan för datavetenskap och kommunikation (CSC)Sammanfattning : 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). LÄS MER
4. Towards a Video Annotation System using Face Recognition
Master-uppsats, Institutionen för datavetenskapSammanfattning : 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. LÄS MER
5. Texture Feature Analysis of Breast Lesions in Automated 3D Breast Ultrasound
Master-uppsats, Institutionen för informationsteknologiSammanfattning : 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. LÄS MER