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- Haibin Ling, David W. Jacobs
- IEEE Transactions on Pattern Analysis and Machine…
- 2007

Part structure and articulation are of fundamental importance in computer and human vision. We propose using the inner-distance to build shape descriptors that are robust to articulation and capture part structure. The inner-distance is defined as the length of the shortest path between landmark points within the shape silhouette. We show that it is… (More)

- Peter N. Belhumeur, David W. Jacobs, David J. Kriegman, Neeraj Kumar
- IEEE Transactions on Pattern Analysis and Machine…
- 2011

We present a novel approach to localizing parts in images of human faces. The approach 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. By assuming that the global models generate the part locations as hidden variables, we derive a Bayesian objective… (More)

- Ronen Basri, David W. Jacobs
- ICCV
- 2001

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 implies that, in general, the set of images of a convex Lambertian object obtained under a wide variety of lighting conditions can be approximated accurately by… (More)

- Abhishek Sharma, Abhishek Kumar, Hal Daumé, David W. Jacobs
- 2012 IEEE Conference on Computer Vision and…
- 2012

This paper presents a general multi-view feature extraction approach that we call Generalized Multiview Analysis or GMA. GMA has all the desirable properties required for cross-view classification and retrieval: it is supervised, it allows generalization to unseen classes, it is multi-view and kernelizable, it affords an efficient eigenvalue based solution… (More)

- Chang Ha Lee, Amitabh Varshney, David W. Jacobs
- ACM Trans. Graph.
- 2005

Research over the last decade has built a solid mathematical foundation for representation and analysis of 3D meshes in graphics and geometric modeling. Much of this work however does not explicitly incorporate models of low-level human visual attention. In this paper we introduce the idea of <i>mesh saliency</i> as a measure of regional importance for… (More)

- Abhishek Sharma, David W. Jacobs
- CVPR
- 2011

This paper presents a novel way to perform multi-modal face recognition. We use Partial Least Squares (PLS) to linearly map images in different modalities to a common linear subspace in which they are highly correlated. PLS has been previously used effectively for feature selection in face recognition. We show both theoretically and experimentally that PLS… (More)

- Lance R. Williams, David W. Jacobs
- ICCV
- 1995

We describe an algorithm- and representation-level theory of illusory contour shape and salience. Unlike previous theories, our model is derived from a single assumption: that the prior probability distribution of boundary completion shape can be modeled by a random walk in a lattice whose points are positions and orientations in the image plane (i.e., the… (More)

- Ronen Basri, David W. Jacobs, Ira Kemelmacher-Shlizerman
- International Journal of Computer Vision
- 2001

Work on photometric stereo has shown how to recover the shape and reflectance properties of an object using multiple images taken with a fixed viewpoint and variable lighting conditions. This work has primarily relied on known lighting conditions or the presence of a single point source of light in each image. In this paper we show how to perform… (More)

- Haibin Ling, David W. Jacobs
- 2005 IEEE Computer Society Conference on Computer…
- 2005

We propose using the inner-distance between landmark points to build shape descriptors. The inner-distance is defined as the length of the shortest path between landmark points within the shape silhouette. We show that the inner-distance is articulation insensitive and more effective at capturing complex shapes with part structures than Euclidean distance.… (More)

- Neeraj Kumar, Peter N. Belhumeur, +4 authors João V. B. Soares
- ECCV
- 2012

We describe the first mobile app for identifying plant species using automatic visual recognition. The system – called Leafsnap – identifies tree species from photographs of their leaves. Key to this system are computer vision components for discarding non-leaf images, segmenting the leaf from an untextured background, extracting features representing the… (More)