44 citations · 119 across the 23 of their papers we have counts for
26 papers
3D Imaging of Complex Specular Surfaces by Fusing Polarimetric and Deflectometric Information
Jiazhang Wang, Oliver Cossairt, Florian Willomitzer
Accurate and fast 3D imaging of specular surfaces still poses major challenges for state-of-the-art optical measurement principles. Frequently used methods, such as phase-measuring…
Event-based Shape from Polarization with Spiking Neural Networks
Peng Kang, Srutarshi Banerjee, Henry Chopp +2
Recent advances in event-based shape determination from polarization offer a transformative approach that tackles the trade-off between speed and accuracy in capturing surface geom…
Event-based Motion-Robust Accurate Shape Estimation for Mixed Reflectance Scenes
Aniket Dashpute, Jiazhang Wang, James Taylor +3
Event-based structured light systems have recently been introduced as an exciting alternative to conventional frame-based triangulation systems for the 3D measurements of diffuse s…
Accurate and Fast VR Eye-Tracking using Deflectometric Information
Jiazhang Wang, Tianfu Wang, Bingjie Xu +2
We present two methods for fast and precise eye-tracking in VR headsets. Both methods exploit deflectometric information, i.e., the specular reflection of an extended screen over t…
Thermal Spread Functions (TSF): Physics-guided Material Classification
Aniket Dashpute, Vishwanath Saragadam, Emma Alexander +4
Robust and non-destructive material classification is a challenging but crucial first-step in numerous vision applications. We propose a physics-guided material classification fram…
Single-shot ToF sensing with sub-mm precision using conventional CMOS sensors
Manuel Ballester, Heming Wang, Jiren Li +2
We present a novel single-shot interferometric ToF camera targeted for precise 3D measurements of dynamic objects. The camera concept is based on Synthetic Wavelength Interferometr…
Boost Event-Driven Tactile Learning with Location Spiking Neurons
Peng Kang, Srutarshi Banerjee, Henry Chopp +2
Tactile sensing is essential for a variety of daily tasks. And recent advances in event-driven tactile sensors and Spiking Neural Networks (SNNs) spur the research in related field…
Event-Driven Tactile Learning with Location Spiking Neurons
Peng Kang, Srutarshi Banerjee, Henry Chopp +2
The sense of touch is essential for a variety of daily tasks. New advances in event-based tactile sensors and Spiking Neural Networks (SNNs) spur the research in event-driven tacti…
Investigating the Potential of Auxiliary-Classifier GANs for Image Classification in Low Data Regimes
Amil Dravid, Florian Schiffers, Yunan Wu +2
Generative Adversarial Networks (GANs) have shown promise in augmenting datasets and boosting convolutional neural networks' (CNN) performance on image classification tasks. But th…
A Joint Intensity-Neuromorphic Event Imaging System for Resource Constrained Devices
Srutarshi Banerjee, Henry H. Chopp, Jianping Zhang +3
We present a novel adaptive multi-modal intensity-event algorithm to optimize an overall objective of object tracking under bit rate constraints for a host-chip architecture. The c…
Improving Acquisition Speed of X-Ray Ptychography through Spatial Undersampling and Regularization
Prasan Shedligeri, Florian Schiffers, Semih Barutcu +3
X-ray ptychography is one of the versatile techniques for nanometer resolution imaging. The magnitude of the diffraction patterns is recorded on a detector and the phase of the dif…
Adaptive Illumination based Depth Sensing using Deep Superpixel and Soft Sampling Approximation
Qiqin Dai, Fengqiang Li, Oliver Cossairt +1
Dense depth map capture is challenging in existing active sparse illumination based depth acquisition techniques, such as LiDAR. Various techniques have been proposed to estimate a…
An Adaptive Video Acquisition Scheme for Object Tracking and its Performance Optimization
Srutarshi Banerjee, Henry H. Chopp, Juan G. Serra +3
We present a novel adaptive host-chip modular architecture for video acquisition to optimize an overall objective task constrained under a given bit rate. The chip is a high resolu…
Exploiting wavelength diversity for high resolution time-of-flight 3D imaging
Fengqiang Li, Florian Willomitzer, Prasanna Rangarajan +1
State-of-the-art time-of-flight (ToF) based 3D sensors suffer from poor lateral and depth resolutions. In this work, we introduce a novel sensor concept that provides ToF-based 3D…
Intensity interferometry-based 3D imaging
Fabian Wagner, Florian Schiffers, Florian Willomitzer +2
The development of single-photon counting detectors and arrays has made tremendous steps in recent years, not the least because of various new applications in, e.g., LIDAR devices.…
Lossy Event Compression based on Image-derived Quad Trees and Poisson Disk Sampling
Srutarshi Banerjee, Zihao W. Wang, Henry H. Chopp +2
With several advantages over conventional RGB cameras, event cameras have provided new opportunities for tackling visual tasks under challenging scenarios with fast motion, high dy…
Synthetic Wavelength Holography: An Extension of Gabor's Holographic Principle to Imaging with Scattered Wavefronts
Florian Willomitzer, Prasanna V. Rangarajan, Fengqiang Li +3
The presence of a scattering medium in the imaging path between an object and an observer is known to severely limit the visual acuity of the imaging system. We present an approach…
Event-driven Video Frame Synthesis
Zihao W. Wang, Weixin Jiang, Kuan He +3
Temporal Video Frame Synthesis (TVFS) aims at synthesizing novel frames at timestamps different from existing frames, which has wide applications in video codec, editing and analys…
Privacy-Preserving Action Recognition using Coded Aperture Videos
Zihao W. Wang, Vibhav Vineet, Francesco Pittaluga +3
The risk of unauthorized remote access of streaming video from networked cameras underlines the need for stronger privacy safeguards. We propose a lens-free coded aperture camera s…
Adaptive Image Sampling using Deep Learning and its Application on X-Ray Fluorescence Image Reconstruction
Qiqin Dai, Henry Chopp, Emeline Pouyet +3
This paper presents an adaptive image sampling algorithm based on Deep Learning (DL). The adaptive sampling mask generation network is jointly trained with an image inpainting netw…
Computational multifocal microscopy
Kuan He, Zihao Wang, Xiang Huang +10
Despite recent advances, high performance single-shot 3D microscopy remains an elusive task. By introducing designed diffractive optical elements (DOEs), one is capable of converti…
Particle Tracking and Extended Object Imaging by Interferometric Super Resolution Microscopy
Itay Gdor, Seunghwan Yoo, Xiaolei Wang +8
An interferometric fluorescent microscope and a novel theoretic image reconstruction approach were developed and used to obtain super-resolution images of live biological samples a…
3D Snapshot Microscopy of Extended Objects
Xiang Huang, Alan Selewa, Xiaolei Wang +11
Volumetric biological imaging often involves compromising high temporal resolution at the expense of high spatial resolution when popular scanning methods are used to capture 3D in…
Photometric Stereo by UV-Induced Fluorescence to Detect Protrusions on Georgia O'Keeffe's Paintings
Johanna Salvant, Marc Walton, Dale Kronkright +4
A significant number of oil paintings produced by Georgia O'Keeffe (1887-1986) show surface protrusions of varying width, up to several hundreds of microns. These protrusions are s…