Search results for: Fredo Durand

Items from 1 to 20 out of 33 results

article

Flexible SVBRDF Capture with a Multi‐Image Deep Network

Valentin Deschaintre, Miika Aittala, Fredo Durand, George Drettakis, more

Computer Graphics Forum > 38 > 4 > 1 - 13

Empowered by deep learning, recent methods for material capture can estimate a spatially‐varying reflectance from a single photograph. Such lightweight capture is in stark contrast with the tens or hundreds of pictures required by traditional optimization‐based approaches. However, a single image is often simply not enough to observe the rich appearance of real‐world materials. We present a deep‐learning...

article

Thin Structures in Image Based Rendering

Theo Thonat, Abdelaziz Djelouah, Fredo Durand, George Drettakis

Computer Graphics Forum > 37 > 4 > 107 - 118

We propose a novel method to handle thin structures in Image‐Based Rendering (IBR), and specifically structures supported by simple geometric shapes such as planes, cylinders, etc. These structures, e.g. railings, fences, oven grills etc, are present in many man‐made environments and are extremely challenging for multi‐view 3D reconstruction, representing a major limitation of existing IBR methods...

article

Exploiting Repetitions for Image‐Based Rendering of Facades

Simon Rodriguez, Adrien Bousseau, Fredo Durand, George Drettakis

Computer Graphics Forum > 37 > 4 > 119 - 131

Street‐level imagery is now abundant but does not have sufficient capture density to be usable for Image‐Based Rendering (IBR) of facades. We present a method that exploits repetitive elements in facades ‐ such as windows ‐ to perform data augmentation, in turn improving camera calibration, reconstructed geometry and overall rendering quality for IBR. The main intuition behind our approach is that...

chapter

Turning Corners into Cameras: Principles and Methods

Katherine L. Bouman, Vickie Ye, Adam B. Yedidia, Fredo Durand, more

2017 IEEE International Conference on Computer Vision (ICCV) > 2289 - 2297

2017 IEEE International Conference on Computer Vision (ICCV)

We show that walls, and other obstructions with edges, can be exploited as naturally-occurring “cameras” that reveal the hidden scenes beyond them. In particular, we demonstrate methods for using the subtle spatio-temporal radiance variations that arise on the ground at the base of a wall's edge to construct a one-dimensional video of the hidden scene behind the wall. The resulting technique can be...

article

Visual Vibrometry: Estimating Material Properties from Small Motions in Video

Abe Davis, Katherine L. Bouman, Justin G. Chen, Michael Rubinstein, more

IEEE Transactions on Pattern Analysis and Machine Intelligence > 2017 > 39 > 4 > 732 - 745

The estimation of material properties is important for scene understanding, with many applications in vision, robotics, and structural engineering. This paper connects fundamentals of vibration mechanics with computer vision techniques in order to infer material properties from small, often imperceptible motions in video. Objects tend to vibrate in a set of preferred modes. The frequencies of these...

chapter

Using the visibility complex for radiosity computation

Rachel Orti, Frédo Durand, Stéphane Rivière, Claude Puech

Lecture Notes in Computer Science > Applied Computational Geometry Towards Geometric Engineering > 177-190

The radiosity method is particularly suitable for global illumination calculations in static environments. Nonetheless, for applications of image synthesis such as lighting design or architectural simulation, we have to deal with dynamic environments. To make the method usable in a real case, the illumination has to be updated as fast as possible after an object moves. The efficient way is to find...

chapter

An Interactive Artificial Ant Approach to Non-photorealistic Rendering

Yann Semet, Una-May O’Reilly, Frédo Durand

Lecture Notes in Computer Science > Genetic and Evolutionary Computation – GECCO 2004 > A-Life, Adaptive Behavior, Agents, and Ant Colony Optimization > 188-200

We couple artificial ant and computer graphics techniques to create an approach to Non-Photorealistic Rendering (NPR). A user interactively takes turns with an artificial ant colony to transform a photograph into a stylized picture. In turn with the user specifying its control parameters, members of a colony of artificial ants scan the source image locally, following strong edges or wandering around...

chapter

Understanding Camera Trade-Offs through a Bayesian Analysis of Light Field Projections

Anat Levin, William T. Freeman, Frédo Durand

Lecture Notes in Computer Science > Computer Vision – ECCV 2008 > Computational Photography > 88-101

Computer vision has traditionally focused on extracting structure, such as depth, from images acquired using thin-lens or pinhole optics. The development of computational imaging is broadening this scope; a variety of unconventional cameras do not directly capture a traditional image anymore, but instead require the joint reconstruction of structure and image information. For example, recent coded...

chapter

A Fast Approximation of the Bilateral Filter Using a Signal Processing Approach

Sylvain Paris, Frédo Durand

Lecture Notes in Computer Science > Computer Vision – ECCV 2006 > Low-Level Vision, Segmentation and Grouping > 568-580

The bilateral filter is a nonlinear filter that smoothes a signal while preserving strong edges. It has demonstrated great effectiveness for a variety of problems in computer vision and computer graphics, and a fast version has been proposed. Unfortunately, little is known about the accuracy of such acceleration. In this paper, we propose a new signal-processing analysis of the bilateral filter, which...

chapter

Estimating a Small Signal in the Presence of Large Noise

Amy Zhao, Fredo Durand, John Guttag

2015 IEEE International Conference on Computer Vision Workshop (ICCVW) > 671 - 676

2015 IEEE International Conference on Computer Vision Workshop (ICCVW)

Video magnification techniques are useful for visualizing small changes in videos. For instance, Eulerian video magnification has been used to visualize the flow of blood in the human face. Such visualizations have possible applications in remote monitoring or screening for diseases. However, when visualizing blood flow, the signal of interest may be similar in amplitude to the noise in the video...

article

Computational rim illumination of dynamic subjects using aerial robots

Manohar Srikanth, Kavita Bala, Frédo Durand

Computers & Graphics > 2015 > 52 > Complete > 142-154

Lighting plays a major role in photography. Professional photographers use elaborate installations to light their subjects and achieve sophisticated styles. However, lighting moving subjects performing dynamic tasks presents significant challenges and requires expensive manual intervention. A skilled additional assistant might be needed to reposition lights as the subject changes pose or moves, and...

article

Probabilistic Connections for Bidirectional Path Tracing

Stefan Popov, Ravi Ramamoorthi, Fredo Durand, George Drettakis

Computer Graphics Forum > 34 > 4 > 75 - 86

Bidirectional path tracing (BDPT) with Multiple Importance Sampling is one of the most versatile unbiased rendering algorithms today. BDPT repeatedly generates sub‐paths from the eye and the lights, which are connected for each pixel and then discarded. Unfortunately, many such bidirectional connections turn out to have low contribution to the solution. Our key observation is that we can importance...

article

Modal identification of simple structures with high-speed video using motion magnification

Justin G. Chen, Neal Wadhwa, Young-Jin Cha, Frédo Durand, more

Journal of Sound and Vibration > 2015 > 345 > Complete > 58-71

Video cameras offer the unique capability of collecting high density spatial data from a distant scene of interest. They can be employed as remote monitoring or inspection sensors for structures because of their commonplace availability, simplicity, and potentially low cost. An issue is that video data is difficult to interpret into a format familiar to engineers such as displacement. A methodology...

chapter

Reflection removal using ghosting cues

YiChang Shih, Dilip Krishnan, Fredo Durand, William T. Freeman

2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) > 3193 - 3201

2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Photographs taken through glass windows often contain both the desired scene and undesired reflections. Separating the reflection and transmission layers is an important but ill-posed problem that has both aesthetic and practical applications. In this work, we introduce the use of ghosting cues that exploit asymmetry between the layers, thereby helping to reduce the ill-posedness of the problem. These...

chapter

The aperture problem for refractive motion

Tianfan Xue, Hossein Mobahi, Fredo Durand, William T. Freeman

2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) > 3386 - 3394

2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

When viewed through a small aperture, a moving image provides incomplete information about the local motion. Only the component of motion along the local image gradient is constrained. In an essential part of optical flow algorithms, information must be aggregated from nearby image locations in order to estimate all components of motion. This limitation of local evidence for estimating optical flow...

chapter

Video magnification in presence of large motions

Mohamed A. Elgharib, Mohamed Hefeeda, Fredo Durand, William T. Freeman

2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) > 4119 - 4127

2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Video magnification reveals subtle variations that would be otherwise invisible to the naked eye. Current techniques require all motion in the video to be very small, which is unfortunately not always the case. Tiny yet meaningful motions are often combined with larger motions, such as the small vibrations of a gate as it rotates, or the microsaccades in a moving eye. We present a layer-based video...

chapter

Visual vibrometry: Estimating material properties from small motions in video

Abe Davis, Katherine L. Bouman, Justin G. Chen, Michael Rubinstein, more

2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) > 5335 - 5343

2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

The estimation of material properties is important for scene understanding, with many applications in vision, robotics, and structural engineering. This paper connects fundamentals of vibration mechanics with computer vision techniques in order to infer material properties from small, often imperceptible motion in video. Objects tend to vibrate in a set of preferred modes. The shapes and frequencies...

chapter

Predicting Range of Acceptable Photographic Tonal Adjustments

Ronnachai Jaroensri, Sylvain Paris, Aaron Hertzmann, Vladimir Bychkovsky, more

2015 IEEE International Conference on Computational Photography (ICCP) > 1 - 9

2015 IEEE International Conference on Computational Photography (ICCP)

There is often more than one way to select tonal adjustment for a photograph, and different individuals may prefer different adjustments. However, selecting good adjustments is challenging. This paper describes a method to predict whether a given tonal rendition is acceptable for a photograph, which we use to characterize its range of acceptable adjustments. We gathered a dataset of image "acceptability''...

chapter

Riesz pyramids for fast phase-based video magnification

Neal Wadhwa, Michael Rubinstein, Fredo Durand, William T. Freeman

2014 IEEE International Conference on Computational Photography (ICCP) > 1 - 10

2014 IEEE International Conference on Computational Photography (ICCP)

We present a new compact image pyramid representation, the Riesz pyramid, that can be used for real-time phase-based motion magnification. Our new representation is less overcomplete than even the smallest two orientation, octave-bandwidth complex steerable pyramid, and can be implemented using compact, efficient linear filters in the spatial domain. Motion-magnified videos produced with this new...

chapter

Detecting Pulse from Head Motions in Video

Guha Balakrishnan, Fredo Durand, John Guttag

2013 IEEE Conference on Computer Vision and Pattern Recognition > 3430 - 3437

2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

We extract heart rate and beat lengths from videos by measuring subtle head motion caused by the Newtonian reaction to the influx of blood at each beat. Our method tracks features on the head and performs principal component analysis (PCA) to decompose their trajectories into a set of component motions. It then chooses the component that best corresponds to heartbeats based on its temporal frequency...

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INFONA - science communication portal

Search results for: Fredo Durand

Flexible SVBRDF Capture with a Multi‐Image Deep Network

Thin Structures in Image Based Rendering

Exploiting Repetitions for Image‐Based Rendering of Facades

Turning Corners into Cameras: Principles and Methods

Visual Vibrometry: Estimating Material Properties from Small Motions in Video

Using the visibility complex for radiosity computation

An Interactive Artificial Ant Approach to Non-photorealistic Rendering

Understanding Camera Trade-Offs through a Bayesian Analysis of Light Field Projections

A Fast Approximation of the Bilateral Filter Using a Signal Processing Approach

Estimating a Small Signal in the Presence of Large Noise

Computational rim illumination of dynamic subjects using aerial robots

Probabilistic Connections for Bidirectional Path Tracing

Modal identification of simple structures with high-speed video using motion magnification

Reflection removal using ghosting cues

The aperture problem for refractive motion

Video magnification in presence of large motions

Visual vibrometry: Estimating material properties from small motions in video

Predicting Range of Acceptable Photographic Tonal Adjustments

Riesz pyramids for fast phase-based video magnification

Detecting Pulse from Head Motions in Video

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