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Larval lampreys are known to successfully recover normal behavior following spinal cord injury. More recently, we showed temperature can influence functional recovery, with colder temperatures more likely producing behavioral abnormality despite the cold being the animals' normal temperature. Here we analyze the differences associated with temperature(More)
In this paper, we propose a visual hull algorithm, which guarantees a correct construction even in the presence of partial occlusion, while " correct " here means that the real shape is located inside the visual hull. The algorithm is based on a new idea of the " extended silhouette " , which requires the silhouette from background subtraction and the "(More)
In this paper, we reconstruct 3D objects with a heterogeneous sensor network of Time of Flight (ToF) Range Imaging (RIM) sensors and high-res camcorders. With this setup, we first carry out a simple but effective depth calibration for the RIM cameras. We then combine the camcorder silhouette cues and RIM camera depth information, for the reconstruction. Our(More)
A method of estimating coupling strength between two neural oscillators based on their spikes trains (Kiemel and Cohen, J. Comput. Neurosci. 5: 267-284, 1998) is tested using simulated data and then applied to experimental data from the central pattern generator (CPG) for swimming in the lamprey. The method is tested using a model of two connectionist(More)
Given a hand-held RGB-D camera (e.g. Kinect), methods such as Structure from Motion (SfM) and Iterative Closest Point (ICP), perform poorly when reconstructing indoor scenes with few image features or little geometric structure information. In this paper, we propose to extract high level primitives– planes–from an RGB-D camera, in addition to low level(More)
In this paper, we propose a unified calibration technique for a heterogeneous sensor network of video camcorders and Time-of-Flight (ToF) cameras. By moving a spherical calibration target around the commonly observed scene, we can robustly and conveniently extract the sphere centers in the observed images and recover the geometric ex-trinsics for both types(More)
In this paper, we present an algorithm to proba-bilistically estimate object shapes in a 3D dynamic scene using their silhouette information derived from multiple geometrically calibrated video camcorders. The scene is represented by a 3D volume. Every object in the scene is associated with a distinctive label to represent its existence at every voxel(More)
This paper deals with the 3D shape estimation from silhouette cues of multiple moving objects in general indoor or outdoor 3D scenes with potential static obstacles, using multiple calibrated video streams. Most shape-from-silhouette techniques use a two-classification of space occupancy and silhouettes, based on image regions that match or disagree with a(More)