most citedFace Recognition using 3D Facial Shape and Color Map Information: Comparison and Combination

30 citations · 79 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV20111 cited

Benchmarks, Performance Evaluation and Contests for 3D Shape Retrieval

Afzal Godil, Zhouhui Lian, Helin Dutagaci +3

Benchmarking of 3D Shape retrieval allows developers and researchers to compare the strengths of different algorithms on a standard dataset. Here we describe the procedures involve…

cs.CV201123 cited

Retrieval and Clustering from a 3D Human Database based on Body and Head Shape

Afzal Godil, Sandy Ressler

In this paper, we describe a framework for similarity based retrieval and clustering from a 3D human database. Our technique is based on both body and head shape representation and…

cs.CV201130 cited

Face Recognition using 3D Facial Shape and Color Map Information: Comparison and Combination

Afzal Godil, Sandy Ressler, Patrick Grother

In this paper, we investigate the use of 3D surface geometry for face recognition and compare it to one based on color map information. The 3D surface and color map data are from t…

cs.CV201120 cited

Salient Local 3D Features for 3D Shape Retrieval

Afzal Godil, Asim Imdad Wagan

In this paper we describe a new formulation for the 3D salient local features based on the voxel grid inspired by the Scale Invariant Feature Transform (SIFT). We use it to identif…

cs.CV20115 cited

View subspaces for indexing and retrieval of 3D models

Helin Dutagaci, Afzal Godil, Bulent Sankur +1

View-based indexing schemes for 3D object retrieval are gaining popularity since they provide good retrieval results. These schemes are coherent with the theory that humans recogni…