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Image Processing and Analysis
By Owen Carmichael
Image Processing and Analysis episodes
- Object Detection from Range DataLecture 19: Carmichael discusses some problems that can arise in range data-based detection and how these problems can be fixed by creating transformation-consistent clusters.52 min
- Local Shape RepresentationsLecture 18: Carmichael discusses advantages of local shape representations and two methods for creating them: the segmentation method and the vertex-based method.52 min
- Global Shape RepresentationsLecture 17: The instructor discusses ways of storing and searching 3D models. Explains database querying, geons, object signatures and shape histograms.56 min
- Combining Multiple MeshesLecture 16: Carmichael discusses two approaches (mesh-based and volumetric) for combining multiple meshes to form a single closed surface.51 min
- Mesh Alignment IILecture 15: In the second lecture on mesh alignment, Carmichale explains nonrigid alignment and how to accomplish this process using a technique called deformable registration.52 min
- Mesh Alignment ILecture 14: In the first of two lectures, Carmichale discusses rigid alignment of meshes as well as the metrics and transformation models involved.52 min
- Mesh SmoothingLecture 13: The instructor discusses using mesh smoothing to remove noise from three-dimensional data. Also includes Gaussian smoothing and mesh shrinkage.51 min
- 3D Image AcquisitionLecture 12: Carmichael explains how to obtain an image with three dimensions. The unit covers two principles for doing so: time of flight and triangulation.54 min
- InvariantsLecture 11: Carmichale explains the use of invariants for dense and sparse matching, as well as some various kinds of invariants.51 min
- Texture AnalysisLecture 09: Carmichael explains why it is useful to study the textures of an image and methods for detecting them in images.57 min
About Image Processing and Analysis
From the publisher's feed
This course deals with the techniques for automated extraction of high-level information from images generated by cameras, three-dimensional surface sensors, and medical devices. Typical applications…
include automated construction of 3D models from video footage and detection of objects in various types of images.