This decommissioned ERA site remains active temporarily to support our final migration steps to https://ualberta.scholaris.ca, ERA's new home. All new collections and items, including Spring 2025 theses, are at that site. For assistance, please contact erahelp@ualberta.ca.
Search
Skip to Search Results- 1Cell Counting and Detection
- 1Computer Vision
- 1Convolutional Neural Networks
- 1Deep Neural Network
- 1Microscopy Images
- 1Multiple kernel learning
-
Fall 2018
Microscopic image analysis is a broad term that covers the use of digital image processing techniques to process and analyze images obtained from a microscope. It is of significant interest to a number of diverse fields such as medicine, biological research, cancer research, drug testing, etc. A...
-
Fall 2015
Determining the viewpoint (pose) of rigid objects in images is a classic vision problem with applications to robotic grasping, autonomous navigation, augmented reality, semantic SLAM and scene understanding in general. While most existing work is characterized by phrases such as "coarse pose...
-
Scale space feature selection with Multiple kernel learning and its application to oil sand image analysis
DownloadSpring 2012
Scale-space representation for an image is a significant way to generate features for object detection/classification. The size of the object we are looking for as well as its texture contents are related to the multi-scale representations. However, any scale-space based features face...