Essays about: "feature descriptors"
Showing result 1 - 5 of 22 essays containing the words feature descriptors.
-
1. Representation learning for single cell morphological phenotyping
University essay from Umeå universitet/Institutionen för fysikAbstract : Preclinical research for developing new drugs is a long and expensive procedure. Experiments relying on image acquisition and analysis tend to be low throughput and use reporter systems that may influence the studied cells. READ MORE
-
2. RGB-D Deep Learning keypoints and descriptors extraction Network for feature-based Visual Odometry systems
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Feature extractors in Visual Odometry pipelines rarely exploit depth signals, even though depth sensors and RGB-D cameras are commonly used in later stages of Visual Odometry systems. Nonetheless, depth sensors from RGB-D cameras function even with no external light and can provide feature extractors with additional structural information otherwise invisible in RGB images. READ MORE
-
3. FPGA Implementation of the ORB Algorithm
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Image feature extraction has become a key technology in the field of autonomous Artificial Intelligence. The algorithm Oriented FAST and Rotated BRIEF (ORB), uses established technologies in image processing to allow a computer to ”see” and navigate its surroundings. READ MORE
-
4. Local Feature Correspondence on Side-Scan Sonar Seafloor Images
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In underwater environments, the perception and navigation systems are heavily dependent on the acoustic wave based sonar technology. Side-scan sonar (SSS) provides high-resolution, photo-realistic images of the seafloor at a relatively cheap price. READ MORE
-
5. Adaptive Losses for Camera Pose Supervision
University essay from Linköpings universitet/DatorseendeAbstract : This master thesis studies the learning of dense feature descriptors where camera poses are the only supervisory signal. The use of camera poses as a supervisory signal has only been published once before, and this thesis expands on this previous work by utilizing a couple of different techniques meant increase the robustness of the method, which is particularly important when not having access to ground-truth correspondences. READ MORE
