13 citations · 18 across the 8 of their papers we have counts for
4 papers · 1 filter
Learning from past scans: Tomographic reconstruction to detect new structures
Preeti Gopal, Sharat Chandran, Imants Svalbe +1
The need for tomographic reconstruction from sparse measurements arises when the measurement process is potentially harmful, needs to be rapid, or is uneconomical. In such cases, p…
A Large Dataset for Improving Patch Matching
Rahul Mitra, Nehal Doiphode, Utkarsh Gautam +4
We propose a new dataset for learning local image descriptors which can be used for significantly improved patch matching. Our proposed dataset consists of an order of magnitude mo…
Tomographic Reconstruction using Global Statistical Prior
Preeti Gopal, Ritwick Chaudhry, Sharat Chandran +2
Recent research in tomographic reconstruction is motivated by the need to efficiently recover detailed anatomy from limited measurements. One of the ways to compensate for the incr…
Improved Descriptors for Patch Matching and Reconstruction
Rahul Mitra, Jiakai Zhang, Sanath Narayan +3
We propose a convolutional neural network (ConvNet) based approach for learning local image descriptors which can be used for significantly improved patch matching and 3D reconstru…