73 citations · 318 across the 25 of their papers we have counts for
20 papers · 1 filter
Precise Forecasting of Sky Images Using Spatial Warping
Leron Julian, Aswin C. Sankaranarayanan
The intermittency of solar power, due to occlusion from cloud cover, is one of the key factors inhibiting its widespread use in both commercial and residential settings. Hence, rea…
Angle Sensitive Pixels for Lensless Imaging on Spherical Sensors
Yi Hua, Yongyi Zhao, Aswin C. Sankaranarayanan
We propose OrbCam, a lensless architecture for imaging with spherical sensors. Prior work in lensless imager techniques have focused largely on using planar sensors; for such desig…
Single-Photon Structured Light
Varun Sundar, Sizhuo Ma, Aswin C. Sankaranarayanan +1
We present a novel structured light technique that uses Single Photon Avalanche Diode (SPAD) arrays to enable 3D scanning at high-frame rates and low-light levels. This technique,…
Programmable Spectral Filter Arrays using Phase Spatial Light Modulator
Vishwanath Saragadam, Vijay Rengarajan, Ryuichi Tadano +4
Spatially varying spectral modulation can be implemented using a liquid crystal spatial light modulator (SLM) since it provides an array of liquid crystal cells, each of which can…
A Hybrid mmWave and Camera System for Long-Range Depth Imaging
Akarsh Prabhakara, Diana Zhang, Chao Li +4
mmWave radars offer excellent depth resolution even at very long ranges owing to their high bandwidth. But their angular resolution is at least an order-of-magnitude worse than cam…
Photosequencing of Motion Blur using Short and Long Exposures
Vijay Rengarajan, Shuo Zhao, Ruiwen Zhen +3
Photosequencing aims to transform a motion blurred image to a sequence of sharp images. This problem is challenging due to the inherent ambiguities in temporal ordering as well as…
Learning to Separate Multiple Illuminants in a Single Image
Zhuo Hui, Ayan Chakrabarti, Kalyan Sunkavalli +1
We present a method to separate a single image captured under two illuminants, with different spectra, into the two images corresponding to the appearance of the scene under each i…
Towards Multifocal Displays with Dense Focal Stacks
Jen-Hao Rick Chang, B. V. K. Vijaya Kumar, Aswin C. Sankaranarayanan
We present a virtual reality display that is capable of generating a dense collection of depth/focal planes. This is achieved by driving a focus-tunable lens to sweep a range of fo…
Illuminant Spectra-based Source Separation Using Flash Photography
Zhuo Hui, Kalyan Sunkavalli, Sunil Hadap +1
Real-world lighting often consists of multiple illuminants with different spectra. Separating and manipulating these illuminants in post-process is a challenging problem that requi…
One Network to Solve Them All --- Solving Linear Inverse Problems using Deep Projection Models
J. H. Rick Chang, Chun-Liang Li, Barnabas Poczos +2
While deep learning methods have achieved state-of-the-art performance in many challenging inverse problems like image inpainting and super-resolution, they invariably involve prob…
Shape and Spatially-Varying Reflectance Estimation From Virtual Exemplars
Zhuo Hui, Aswin C Sankaranarayanan
This paper addresses the problem of estimating the shape of objects that exhibit spatially-varying reflectance. We assume that multiple images of the object are obtained under a fi…
Cross-scale predictive dictionaries
Vishwanath Saragadam, Xin Li, Aswin Sankaranarayanan
Sparse representations using data dictionaries provide an efficient model particularly for signals that do not enjoy alternate analytic sparsifying transformations. However, solvin…
FlatCam: Thin, Bare-Sensor Cameras using Coded Aperture and Computation
M. Salman Asif, Ali Ayremlou, Aswin Sankaranarayanan +2
FlatCam is a thin form-factor lensless camera that consists of a coded mask placed on top of a bare, conventional sensor array. Unlike a traditional, lens-based camera where an ima…
FPA-CS: Focal Plane Array-based Compressive Imaging in Short-wave Infrared
Huaijin Chen, M. Salman Asif, Aswin C. Sankaranarayanan +1
Cameras for imaging in short and mid-wave infrared spectra are significantly more expensive than their counterparts in visible imaging. As a result, high-resolution imaging in thos…
LiSens --- A Scalable Architecture for Video Compressive Sensing
Jian Wang, Mohit Gupta, Aswin C. Sankaranarayanan
The measurement rate of cameras that take spatially multiplexed measurements by using spatial light modulators (SLM) is often limited by the switching speed of the SLMs. This is es…
A Dictionary-based Approach for Estimating Shape and Spatially-Varying Reflectance
Zhuo Hui, Aswin C. Sankaranarayanan
We present a technique for estimating the shape and reflectance of an object in terms of its surface normals and spatially-varying BRDF. We assume that multiple images of the objec…
Video Compressive Sensing for Spatial Multiplexing Cameras using Motion-Flow Models
Aswin C. Sankaranarayanan, Lina Xu, Christoph Studer +3
Spatial multiplexing cameras (SMCs) acquire a (typically static) scene through a series of coded projections using a spatial light modulator (e.g., a digital micro-mirror device) a…
Video Compressive Sensing for Dynamic MRI
Jianing V. Shi, Wotao Yin, Aswin C. Sankaranarayanan +1
We present a video compressive sensing framework, termed kt-CSLDS, to accelerate the image acquisition process of dynamic magnetic resonance imaging (MRI). We are inspired by a sta…
Compressive Acquisition of Dynamic Scenes
Aswin C Sankaranarayanan, Pavan K Turaga, Rama Chellappa +1
Compressive sensing (CS) is a new approach for the acquisition and recovery of sparse signals and images that enables sampling rates significantly below the classical Nyquist rate.…
A Theory for Optical flow-based Transport on Image Manifolds
Sriram Nagaraj, Aswin C. Sankaranarayanan, Richard G. Baraniuk
An image articulation manifold (IAM) is the collection of images formed when an object is articulated in front of a camera. IAMs arise in a variety of image processing and computer…