activity
20112022
most citedThe VIA Annotation Software for Images, Audio and Video

1k citations · 1.2k across the 8 of their papers we have counts for

collaborators
Showing cs.CVShow all

6 papers · 1 filter

cs.CV2019★ 1k cited

The VIA Annotation Software for Images, Audio and Video

Abhishek Dutta, Andrew Zisserman

In this paper, we introduce a simple and standalone manual annotation tool for images, audio and video: the VGG Image Annotator (VIA). This is a light weight, standalone and offlin…

cs.CV2016★ 5 cited

Ear-to-ear Capture of Facial Intrinsics

Alassane Seck, William A. P. Smith, Arnaud Dessein +3

We present a practical approach to capturing ear-to-ear face models comprising both 3D meshes and intrinsic textures (i.e. diffuse and specular albedo). Our approach is a hybrid of…

cs.CV2015★ 9 cited

Predicting Face Recognition Performance Using Image Quality

Abhishek Dutta, Raymond Veldhuis, Luuk Spreeuwers

This paper proposes a data driven model to predict the performance of a face recognition system based on image quality features. We model the relationship between image quality fea…

cs.CV2015★ 3 cited

Predicting Performance of a Face Recognition System Based on Image Quality

Abhishek Dutta

In this dissertation, we present a generative model to capture the relation between facial image quality features (like pose, illumination direction, etc) and face recognition perf…

cs.CV2013★ 3 cited

Can Facial Uniqueness be Inferred from Impostor Scores?

Abhishek Dutta, Raymond Veldhuis, Luuk Spreeuwers

In Biometrics, facial uniqueness is commonly inferred from impostor similarity scores. In this paper, we show that such uniqueness measures are highly unstable in the presence of i…

cs.CV2011★ 4 cited

Face Shape and Reflectance Acquisition using a Multispectral Light Stage

Abhishek Dutta

In this thesis, we discuss the design and calibration (geometric and radiometric) of a novel shape and reflectance acquisition device called the "Multispectral Light Stage". This d…