—Traditional optical flow algorithms rely on consecutive short-exposed images. In this work, we make use of an additional long-exposed image for motion field estimation. Long-e...
Anita Sellent, Martin Eisemann, Bastian Goldlü...
—CENTRIST (CENsus TRansform hISTogram), a new visual descriptor for recognizing topological places or scene categories, is introduced in this paper. We show that place and scene ...
In this paper we address the problem of tracking an object in a video given its location in the first frame and no other information. Recently, a class of tracking techniques cal...
Abstract—In this paper, we define meta-recognition, a performance prediction method for recognition algorithms, and examine the theoretical basis for its post-recognition score ...
Walter J. Scheirer, Anderson Rocha, Ross J. Michea...
— This paper addresses how to model and correct image blur that arises when a camera undergoes ego motion while observing a distant scene. In particular, we discuss how the blurr...
—In the research of computer vision and machine perception, three-dimensional objects are usually represented by 2-manifold triangular meshes M. In this paper, we present practic...
—We present a discriminative part-based approach for human action recognition from video sequences using motion features. Our model is based on the recently proposed hidden condi...
— In this paper, we present a method for extracting consistent foreground regions when multiple views of a scene are available. We propose a framework that automatically identi...
—This paper introduces a square-root velocity (SRV) representation for analyzing shapes of curves in Euclidean spaces under an elastic metric. Due to this SRV representation the ...
Anuj Srivastava, Eric Klassen, Shantanu H. Joshi, ...
—Affine registration has a long and venerable history in computer vision literature, and in particular, extensive work has been done for affine registration in IR2 and IR3 . This...
S. M. Nejhum Shahed, Yu-Tseh Chi, Jeffrey Ho, Ming...