[talks] A Golovinskiy preFPO

Melissa Lawson mml at CS.Princeton.EDU
Tue Feb 24 14:04:23 EST 2009

Alex Golovinskiy will present his preFPO on Wednesday March 4 at 11:30 AM 
in Room 401 (note room).  The members of his committee are:  Tom Funkhouser, 
advisor; Adam Finkelstein and Szymon Rusinkiewicz, readers; David Dobkin 
and Rob Schapire, nonreaders.  Everyone is invited to attend his talk.  His 
abstract follows below.
Algorithms for analyzing the texture, symmetry, and part structure of 3D surface models


While much of computer graphics research has focused on low-level primitives, many
computer graphics applications require reasoning about higher level structures. In
response to this need, research has emerged to find and take advantage of higher level
structures such as textural properties of geometry, symmetries, and functional parts. We
advance this line of research in several directions.

First, we present a method for analyzing and modifying detailed facial geometry. We
introduce a statistical technique for the analysis and synthesis of small
three-dimensional facial features, such as wrinkles and pores. As an initial step, our
method separates the skin surface details from a smooth base mesh. Then, we analyze the
resulting displacement maps and synthesize new geometry using tools from texture synthesis
research. We demonstrate this method for analysis of changes of facial texture with
respect to age and gender, detail-preserving interpolation between high-resolution face
models, adding detail to low-resolution face models, and adjusting the apparent age of
face models.

Second, we present a framework for symmetry-aware mesh processing. 
Although perfect, partial, and approximate symmetries are pervasive in real-world
geometry, current geometry processing algorithms ignore them. 
We present a framework in which, given a set of symmetries, we (i) warp the geometry to be
symmetric, and (ii) re-mesh a model to have symmetric triangulation. We show how to use
this framework to create algorithms that respect the symmetries of a model, and
demonstrate applications for modeling, beautification, and simplification of nearly
symmetric surfaces.

Third, we present several investigations into segmenting meshes into parts. We present a
hierarchical aggregation algorithm for mesh segmentation. We then expand this algorithm to
consistently segment a set of meshes. We also show how to modify mesh segmentation
algorithms to produce a soft, randomized version of segmentation.

Finally, we present a framework for finding and recognizing objects in outdoor point cloud
scans. We present methods for locating potential objects, segmenting them, and classifying
them. We quantitatively evaluate these models on a part of an Ottawa scan.

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