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- Olivier D. FaugerasSuggested from co-authorship
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Works400 from public data
- 3,072
- Microsoft Kinect Sensor and Its Effect2,583
While the Kinect sensor incorporates several advanced sensing hardware, this article focuses on the vision aspect of the sensor and its impact beyond the gaming industry.
- Deeplysupervised nets2,565
The proposed deeply-supervised nets (DSN) method simultaneously minimizes classification error while making the learning process of hidden layers direct and transparent, and extends techniques from stochastic gradient methods to analyze the algorithm.
- Iterative point matching for registration of free-form curves and surfaces2,557
A heuristic method has been developed for registering two sets of 3-D curves obtained by using an edge-based stereo system, or two dense3-D maps obtained by use a correlation-based stereoscopic system, and it is efficient and robust, and yields an accurate motion estimate.
- Iterative point matching for registration of free-form curves2,557
A heuristic method has been developed for registering two sets of 3-D curves obtained by using an edge-based stereo system, or two dense3-D maps obtained by use a correlation-based stereoscopic system, and it is efficient and robust, and yields an accurate motion estimate.
- A robust technique for matching two uncalibrated images through the recovery of the unknown epipolar geometry1,662
A robust approach to image matching by exploiting the only available geometric constraint, namely, the epipolar constraint, is proposed and a new strategy for updating matches is developed, which only selects those matches having both high matching support and low matching ambiguity.
- 1,488
- Untitled1,109
A complete review of the current techniques for estimating the fundamental matrix and its uncertainty is provided, and a well-founded measure is proposed to compare these techniques.
- Parameter estimation techniques: a tutorial with application to conic fitting1,102
This tutorial presents what is probably the most commonly used techniques for parameter estimation, including linear least-squares (pseudo-inverse and eigen analysis); orthogonal least- Squares; gradient-weighted least-Squares; bias-corrected renormalization; Kalman filtering; and robust techniques (clustering, regression diagnostics, M-estimators, least median of squares).
- Training deep networks for facial expression recognition with crowd-sourced label distribution907
This paper shows how to learn a deep convolutional neural network (DCNN) from noisy labels, using facial expression recognition as an example, and compares four different approaches to utilizing the multiple labels.
- 746
- 682
- 680
- A Survey of Recent Advances in Face Detection658
This technical report surveys the recent advances in face detection for the past decade and surveys the various techniques according to how they extract features and what learning algorithms are adopted.
- Epipolar Geometry in Stereo, Motion and Object Recognition: A Unified Approach558
Redefining Stereo, Motion and Object Recognition via Ep bipolar Geometry via Epipolar Geometry, and Multiple Rigid Motions: Correspondence and Segmentation is redefined.
- Epipolar Geometry in Stereo, Motion and Object Recognition558
Redefining Stereo, Motion and Object Recognition via Ep bipolar Geometry via Epipolar Geometry, and Multiple Rigid Motions: Correspondence and Segmentation is redefined.
- A survey on face detection in the wild: Past, present and future489
The recent advances in real-world face detection techniques are surveyed, beginning with the seminal Viola-Jones face detector methodology and are roughly categorized into two general schemes: rigid templates, learned mainly via boosting based methods or by the application of deep neural networks, and deformable models that describe the face by its parts.
- Real time correlation-based stereo: algorithm, implementations and applications483
The algorithm that has been described is not the most sophisticated available but it has made it robust and reliable thanks to a number of improvements and has shown that real time stereo is possible today at low-cost and can be applied in real applications.
- Robust hand gesture recognition based on finger-earth mover's distance with a commodity depth camera455
A novel distance metric for hand dissimilarity measure, called Finger-Earth Mover's Distance (FEMD), which only matches fingers while not the whole hand shape, can better distinguish hand gestures of slight differences.
- 444
- Robust hand gesture recognition with kinect sensor323
This work presents a hand gesture recognition system with Kinect sensor, which operates robustly in uncontrolled environments and is insensitive to hand variations and distortions, and applies a novel shape distance metric called Finger-Earth Mover's Distance (FEMD) forHand gesture recognition.
- Expressive expression mapping with ratio images260
This paper captures the illumination change of one person's expression in what they call an expression ratio image (ERI), and together with geometric warping, they map an ERI to any other person's face image to generate more expressive facial expressions.
- Distributed meetings258
A system that provides speaker clustering, spatial indexing, and time compression to provide a rich experience for people who miss a meeting and want to watch it afterward and a user study evaluation of the system is described.
- Dimension Reduction With Extreme Learning Machine248
This paper introduces a dimension reduction framework which to some extend represents data as parts, has fast learning speed, and learns the between-class scatter subspace, and experimental results show the efficacy of linear and non-linear ELM-AE and SELM- AE in terms of discriminative capability, sparsity, training time, and normalized mean square error.
- 243
Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-14. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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