activity
20152020
most citedDepthTransfer: Depth Extraction from Video Using Non-parametric Sampling

501 citations · 895 across the 13 of their papers we have counts for

collaborators

14 papers

cs.CV2020★ 274 cited

Depth Extraction from Video Using Non-parametric Sampling

Kevin Karsch, Ce Liu, Sing Bing Kang

We describe a technique that automatically generates plausible depth maps from videos using non-parametric depth sampling. We demonstrate our technique in cases where past methods…

cs.CV2019★ 1 cited

Inverse Rendering Techniques for Physically Grounded Image Editing

Kevin Karsch

From a single picture of a scene, people can typically grasp the spatial layout immediately and even make good guesses at materials properties and where light is coming from to ill…

cs.GR2019★ 2 cited

Lightform: Procedural Effects for Projected AR

Brittany Factura, Laura LaPerche, Phil Reyneri +2

Projected augmented reality, also called projection mapping or video mapping, is a form of augmented reality that uses projected light to directly augment 3D surfaces, as opposed t…

cs.GR2019

Blind Recovery of Spatially Varying Reflectance from a Single Image

Kevin Karsch, David Forsyth

We propose a new technique for estimating spatially varying parametric materials from a single image of an object with unknown shape in unknown illumination. Our method uses a low-…

cs.CV2019★ 501 cited

DepthTransfer: Depth Extraction from Video Using Non-parametric Sampling

Kevin Karsch, Ce Liu, Sing Bing Kang

We describe a technique that automatically generates plausible depth maps from videos using non-parametric depth sampling. We demonstrate our technique in cases where past methods…

cs.GR2019

Automatic Scene Inference for 3D Object Compositing

Kevin Karsch, Kalyan Sunkavalli, Sunil Hadap +4

We present a user-friendly image editing system that supports a drag-and-drop object insertion (where the user merely drags objects into the image, and the system automatically pla…

cs.CV2019

Boundary Cues for 3D Object Shape Recovery

Kevin Karsch, Zicheng Liao, Jason Rock +2

Early work in computer vision considered a host of geometric cues for both shape reconstruction and recognition. However, since then, the vision community has focused heavily on sh…

cs.GR2019

Rendering Synthetic Objects into Legacy Photographs

Kevin Karsch, Varsha Hedau, David Forsyth +1

We propose a method to realistically insert synthetic objects into existing photographs without requiring access to the scene or any additional scene measurements. With a single im…

eess.IV2019★ 11 cited

A Fast, Semi-Automatic Brain Structure Segmentation Algorithm for Magnetic Resonance Imaging

Kevin Karsch, Qing He, Ye Duan

Medical image segmentation has become an essential technique in clinical and research-oriented applications. Because manual segmentation methods are tedious, and fully automatic se…

eess.IV2019★ 8 cited

Web Based Brain Volume Calculation for Magnetic Resonance Images

Kevin Karsch, Brian Grinstead, Qing He +1

Brain volume calculations are crucial in modern medical research, especially in the study of neurodevelopmental disorders. In this paper, we present an algorithm for calculating tw…

cs.GR2019★ 20 cited

Snaxels on a Plane

Kevin Karsch, John C. Hart

While many algorithms exist for tracing various contours for illustrating a meshed object, few algorithms organize these contours into region-bounding closed loops. Tracing closed-…

cs.HC2019★ 48 cited

User interface design for military AR applications

Mark A. Livingston, Zhuming Ai, Kevin Karsch +1

Designing a user interface for military situation awareness presents challenges for managing information in a useful and usable manner. We present an integrated set of functions fo…

cs.CV2018★ 7 cited

An Approximate Shading Model with Detail Decomposition for Object Relighting

Zicheng Liao, Kevin Karsch, Hongyi Zhang +1

We present an object relighting system that allows an artist to select an object from an image and insert it into a target scene. Through simple interactions, the system can adjust…

cs.HC2015★ 23 cited

Where's My Drink? Enabling Peripheral Real World Interactions While Using HMDs

Pulkit Budhiraja, Rajinder Sodhi, Brett Jones +3

Head Mounted Displays (HMDs) allow users to experience virtual reality with a great level of immersion. However, even simple physical tasks like drinking a beverage can be difficul…