Abstract. We consider the task of stereo-reconstruction under the following fairly broad assumptions. A single and continuously shaped object is captured by two uncalibrated camera...
Dmitrij Schlesinger, Boris Flach, Alexander Shekho...
Compressed domain image retrieval allows image indexing to be performed directly on the compressed data without the need of decoding. This approach hence provides a significant ga...
Most image segmentation algorithms optimize some mathematical similarity criterion derived from several low-level image features. One possible way of combining different types of f...
This paper proposes a system for model based human motion estimation. We start with a human model generation system, which uses a set of input images to automatically generate a f...
Abstract. Features like junctions and corners are a rich source of information for image understanding. We present a novel theoretical framework for the analysis of such 2D feature...
Abstract. Irregular pyramids organize a sequence of partitions of images in such a way that each partition is deduced from the preceding one by union of some of its regions. In thi...
Jocelyn Marchadier, Walter G. Kropatsch, Allan Han...
In this paper we present a new method for self-localization on wafers using geometric hashing. The proposed technique is robust to image changes induced by process variations, as o...
Michael Lifshits, Roman Goldenberg, Ehud Rivlin, M...
The goal of our work is object categorization in real-world scenes. That is, given a novel image we want to recognize and localize unseen-before objects based on their similarity t...
A fundamental problem in image recognition is to evaluate the similarity of two images. This can be done by searching for the best pixel-to-pixel matching taking into account suita...