• Publications
  • Influence
Shape Classification Using the Inner-Distance
  • Haibin Ling, D. Jacobs
  • Mathematics, Medicine
    IEEE Transactions on Pattern Analysis and Machine…
  • 1 February 2007
TLDR
It is suggested that the inner-distance can be used as a replacement for the Euclidean distance to build more accurate descriptors for complex shapes, especially for those with articulated parts.
End-to-End Recovery of Human Shape and Pose
TLDR
This work introduces an adversary trained to tell whether human body shape and pose parameters are real or not using a large database of 3D human meshes, and produces a richer and more useful mesh representation that is parameterized by shape and 3D joint angles.
Generalized Multiview Analysis: A discriminative latent space
TLDR
GMA solves a joint, relaxed QCQP over different feature spaces to obtain a single (non)linear subspace and is a supervised extension of Canonical Correlational Analysis (CCA), which is useful for cross-view classification and retrieval.
Localizing parts of faces using a consensus of exemplars
TLDR
A novel approach to localizing parts in images of human faces that combines the output of local detectors with a non-parametric set of global models for the part locations based on over one thousand hand-labeled exemplar images and derives a Bayesian objective function.
Frontal to profile face verification in the wild
TLDR
The aim of this data set is to isolate the factor of pose variation in terms of extreme poses like profile, where many features are occluded, along with other `in the wild' variations to suggest that there is a gap between human performance and automatic face recognition methods for large pose variations in unconstrained images.
Lambertian Reflectance and Linear Subspaces
  • R. Basri, D. Jacobs
  • Mathematics, Computer Science
    IEEE Trans. Pattern Anal. Mach. Intell.
  • 1 February 2003
We prove that the set of all Lambertian reflectance functions (the mapping from surface normals to intensities) obtained with arbitrary distant light sources lies close to a 9D linear subspace. This
Localizing Parts of Faces Using a Consensus of Exemplars
TLDR
This work presents a novel approach to localizing parts in images of human faces that combines the output of local detectors with a nonparametric set of global models for the part locations based on over 1,000 hand-labeled exemplar images and derives a Bayesian objective function.
Lambertian reflectance and linear subspaces
  • R. Basri, D. Jacobs
  • Mathematics, Computer Science
    Proceedings Eighth IEEE International Conference…
  • 7 July 2001
We prove that the set of all reflectance functions (the mapping from surface normals to intensities) produced by Lambertian objects under distant, isotropic lighting lies close to a 9D linear
Leafsnap: A Computer Vision System for Automatic Plant Species Identification
TLDR
The first mobile app for identifying plant species using automatic visual recognition from photographs of their leaves is described, which obtains state-of-the-art performance on the real-world images from the new Leafsnap Dataset --- the largest of its kind.
Bypassing synthesis: PLS for face recognition with pose, low-resolution and sketch
TLDR
This paper uses Partial Least Squares to linearly map images in different modalities to a common linear subspace in which they are highly correlated, and forms a generic intermediate subspace comparison framework for multi-modal recognition.
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