Detecting, identifying, and recognizing salient regions or feature points in images is a very important and fundamental problem to the computer vision and robotics community. Tasks like landmark detection and visual odometry, but also object recognition benefit from stable and repeatable salient features that are invariant to a variety of effects like rotation, scale changes, view point changes...

This paper investigate a binary local image descriptor for Augmented Reality (AR) applications. Recently, various fields are benefit from AR. This technique can enhance the real environment by inserting virtual objects generated by computer. Temporal coherence between virtual and real objects must be ensure in AR system realization. In this paper, object recognition based on extracted natural f...

Applying computer vision feature detectors and descriptors to occupancy grids has important practical applications for the problem of grid map matching in mobile robot localization and mapping, although this approach has received little attention by the community. This review presents a thorough performance evaluation for several combinations of detectors (Harris, KLT, SIFT and SURF) and descri...

In this paper, we describe the application of the novel SURF (Speeded Up Robust Features) algorithm [1] for the recognition of objects of art. For this purpose, we developed a prototype of a mobile interactive museum guide consisting of a tablet PC that features a touchscreen and a webcam. This guide recognises objects in museums based on images taken by the visitor. Using different image sets ...

In computer vision, detection and tracking of targets is very complex problem and demands sophisticated solutions. Unmanned Aerial Vehicles (UAVs) are increasingly being used for reconnaissance and Surveillance. This framework mainly consists of image matching for reconnaissance and Surveillance. This framework mainly consists of image matching for Digital Scene Matching Area Correlation (DSMAC...

In this document, the SURF detector-descriptor scheme used in the OpenSURF library is discussed in detail. First the algorithm is analysed from a theoretical standpoint to provide a detailed overview of how and why it works. Next the design and development choices for the implementation of the library are discussed and justified. During the implementation of the library, it was found that some ...

Waves on the ocean are generated well away from any shoreline and travel under a prevailing wind towards a distant shore. These deep-water waves eventually become shallow-water waves and break near the shore creating a turbulent surf front of bubbles, foam and spray, encompassing secondary breaking and smaller splashing waves. Human surfers can propel themselves shorewards on these breakers or ...

This paper studies the robustness of SIFT and SURF against different image transforms (rigid body, similarity, affine and projective) by quantitatively analyzing the variations in the extent of transformations. Previous studies have been comparing the two techniques on absolute transformations rather than the specific amount of deformation caused by the transformation. The paper establishes an ...

W e present the measurement of the p ositron lif etime spectra in the subsurf ace zones in copp er samples with surf aces damaged in dry and lubric atio n condition s. W e observe that close to the damaged surf ace the single vacancies w ere present, but deep er in the sample treated in the dry conditio n the vacancy clusters w ere detected. A zone with dislo catio ns w as located deep er than ...