Sökning: "Stereo matching"
Visar resultat 1 - 5 av 27 uppsatser innehållade orden Stereo matching.
1. A heuristic approach to screw pose detection
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Object detection using vision systems could generally be accomplished using machine learning or conventional computer vision techniques. This thesis implements and compares three methods to locate screws on a flat plane using conventional computer vision on regular non stereo images without any depth or range information. LÄS MER
2. Real-Time Semantic Stereo Matching
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Scene understanding is paramount in robotics, self-navigation, augmented reality, and many other fields. To fully accomplish this task, an autonomous agent has to infer the 3D structure of the sensed scene (to know where it looks at) and its content (to know what it sees). LÄS MER
3. Collaborative Localization and Mapping with Heterogeneous Depth Sensors
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Simultaneous Localization and Mapping (SLAM) is the process in which a robot and other devices navigate in environments by simultaneously building a map of the surroundings and localizing itself within it. SLAM for single agents and specific sensors has matured during these last two decades. LÄS MER
4. Normalized Convolution Network and Dataset Generation for Refining Stereo Disparity Maps
Master-uppsats, Linköpings universitet/DatorseendeSammanfattning : Finding disparity maps between stereo images is a well studied topic within computer vision. While both classical and machine learning approaches exist in the literature, they frequently struggle to correctly solve the disparity in regions with low texture, sharp edges or occlusions. LÄS MER
5. Correspondence-based pairwise depth estimation with parallel acceleration
Kandidat-uppsats, Mittuniversitetet/Avdelningen för informationssystem och -teknologiSammanfattning : This report covers the implementation and evaluation of a stereo vision corre- spondence-based depth estimation algorithm on a GPU. The results and feed- back are used for a Multi-view camera system in combination with Jetson TK1 devices for parallelized image processing and the aim of this system is to esti- mate the depth of the scenery in front of it. LÄS MER