Inertial sensors attached to a camera can provide valuable data about camera pose and movement. In biological vision systems, inertial cues provided by the vestibular system are fused with vision at an early processing stage. In this article we set a framework for the combination of these two sensing modalities. Cameras can be seen as ray direction measuring devices, and in the case of stereo v...

A novel approach to the automatic classiJcation of remote sensed images is proposed. This approach is based on a three-phase procedure: first pixels which belong to the areas of interest with large likelihood are selected as seeds; second the seeds are refined into connected shapes using two well known image processing techniques; third the results of the shape refinement algorithms are merged ...

still of wide interest, not only in the analysis of remotely sensed images. We describe a new approach to the extraction of networks of narrow curvilinear features such as road and river networks from remotely sensed MINIMUM COST PATHS images. The approach begins with the identification of points in the image with a high probability of being on the network. In the second stage the broad topolog...

Although it is well recognized that photointerpretation of the Landsat imagery can provide adequate information for mapping broad categories of land cover at a reconnaissance level, it is also true that the Landsat data in digital format (CCT's) together with numerical (computer-aided) analysis techniques can provide a great deal more information at a higher level of mapping detail with mapping...

The remote sensing community has long been active in developing, evaluating, and comparing different classification algorithms using a variety of remotely sensed imagery. As an integral component of image classification, accuracy assessment is usually conducted to evaluate the agreement between the classified map and the corresponding reference data. However, current accuracy assessment practic...

AbsrructIn this paper we present neuro-electric interfaces for virtual device control. The examples presented rely upon sampling Electromyogram data from a participants forearm. This data is then fed into pattern recognition software that has been trained to distinguish gestures from a given gesture set. The pattern recognition software consists of hidden Markov models which are used to recogni...

We consider a video acquisition system where motion imagery is captured only by direct compressive sampling (CS) without any other form of intelligent encoding/processing. In this context, the burden of quality video sequence reconstruction falls solely on the decoder/player side. We describe a video CS decoding method that implicitly incorporates motion estimation via sliding-window sparsity-a...

Third generation full-waveform (FW) LIDAR systems image an entire scene by emitting laser pulses in particular directions and measuring the echoes. Each of these echoes provides range measurements about the objects intercepted by the laser pulse along a specified direction. By scanning through a specified region using a series of emitted pulses and observing their echoes, connected 1D profiles ...

The Pervasive Infrastructure Sensor Networks project at Carnegie Mellon University (see www.ices.cmu.edu/sensornets) is looking to match CMU’s strength as having been called one of the “most wired” and later “most wireless” campuses. The goal is to be the “most sensed” campus. We’re physically deploying a network of thousands of sensor nodes across the campus. Our approach to building such a la...

Space missions are increasingly requiring high resolution imagery and, hence, high data compression-two tasks which are inherently incompatible. A tradeoff must, therefore, be made between the available bandwidth and achievable resolution. An efficient visual communication channel-the process from image acquisition to image display-is key to the efficient transmission of the high resolution dat...