Search Results for author:
Found 29 papers, 6 papers with code
CanonNet: Canonical Ordering and Curvature Learning for Point Cloud Analysis
Point cloud processing poses two fundamental challenges: establishing consistent point ordering and effectively learning fine-grained geometric features.
The Fibonacci Network: A Simple Alternative for Positional Encoding
By training each block on the corresponding frequencies of the signal, we show that Fibonacci Networks can reconstruct arbitrarily high frequencies.
Camera Calibration and Stereo via a Single Image of a Spherical Mirror
This paper presents a novel technique for camera calibration using a single view that incorporates a spherical mirror.
Beyond the Benchmark: Detecting Diverse Anomalies in Videos
MFAD excels in both simple and complex anomaly detection scenarios.
Robust affine point matching via quadratic assignment on Grassmannians
Robust Affine Matching with Grassmannians (RoAM) is a new algorithm to perform affine registration of point clouds.
An approach to robust ICP initialization
In this note, we propose an approach to initialize the Iterative Closest Point (ICP) algorithm to match unlabelled point clouds related by rigid transformations.
DecisioNet: A Binary-Tree Structured Neural Network
DNNs perform well due to their representational learning capabilities, while DTs are computationally efficient as they perform inference along one route (root-to-leaf) that is dependent on the input data.
Fully Convolutional Fractional Scaling
We introduce a fully convolutional fractional scaling component, FCFS.
On a realization of motion and similarity group equivalence classes of labeled points in $\mathbb R^k$ with applications to computer vision
We study a realization of motion and similarity group equivalence classes of $n\geq 1$ labeled points in $\mathbb R^k,\, k\geq 1$ as a metric space with a computable metric.
Using a Supervised Method without supervision for foreground segmentation
Neural networks are a powerful framework for foreground segmentation in video acquired by static cameras, segmenting moving objects from the background in a robust way in various challenging scenarios.
Cameras Viewing Cameras Geometry
A basic problem in computer vision is to understand the structure of a real-world scene given several images of it.
Clear Skies Ahead: Towards Real-Time Automatic Sky Replacement in Video
Digital videos such as those captured by a smartphone often exhibit exposure inconsistencies, a poorly exposed sky, or simply suffer from an uninteresting or plain looking sky.
Detection of distal radius fractures trained by a small set of X-ray images and Faster R-CNN
Distal radius fractures are the most common fractures of the upper extremity in humans.
On Min-Max affine approximants of convex or concave real valued functions from $\mathbb R^k$, Chebyshev equioscillation and graphics
We study Min-Max affine approximants of a continuous convex or concave function $f:\Delta\subset \mathbb R^k\xrightarrow{} \mathbb R$ where $\Delta$ is a convex compact subset of $\mathbb R^k$.
Image declipping with deep networks
We present a deep network to recover pixel values lost to clipping.
Sketch based Reduced Memory Hough Transform
This paper proposes using sketch algorithms to represent the votes in Hough transforms.
Two view constraints on the epipoles from few correspondences
We show how it can be used to reduce the number of required points for the epipolar geometry when some information about the epipoles is available and demonstrate this with a buddy search app.
An Epipolar Line from a Single Pixel
In this paper we propose a new method to compute the epipolar geometry from a video stream, by exploiting the following observation: For a pixel p in Image A, all pixels corresponding to p in Image B are on the same epipolar line.
A convolutional approach to reflection symmetry
We present a convolutional approach to reflection symmetry detection in 2D.
Fundamental Matrices from Moving Objects Using Line Motion Barcodes
Corresponding epipolar lines have similar motion barcodes, and candidate pairs of corresponding epipoar lines are found by the similarity of their motion barcodes.
Epipolar Geometry Based On Line Similarity
This paper proposes a similarity measure between lines that indicates whether two lines are corresponding epipolar lines and enables finding epipolar line correspondences as needed for the computation of epipolar geometry.
Camera Calibration from Dynamic Silhouettes Using Motion Barcodes
The use of motion barcodes leads to increased speed, accuracy, and robustness in computing the epipolar geometry.
General Deformations of Point Configurations Viewed By a Pinhole Model Camera
This paper is a theoretical study of the following Non-Rigid Structure from Motion problem.
Complex-Valued Hough Transforms for Circles
This paper advocates the use of complex variables to represent votes in the Hough transform for circle detection.
Quantum Pairwise Symmetry: Applications in 2D Shape Analysis
A pair of rooted tangents -- defining a quantum triangle -- with an associated quantum wave of spin 1/2 is proposed as the primitive to represent and compute symmetry.
Event Retrieval Using Motion Barcodes
We introduce a simple and effective method for retrieval of videos showing a specific event, even when the videos of that event were captured from significantly different viewpoints.
Mirror Symmetry Histograms for Capturing Geometric Properties in Images
We propose a data structure that captures global geometric properties in images: Histogram of Mirror Symmetry Coefficients.
The Generalized Laplacian Distance and Its Applications for Visual Matching
The graph Laplacian operator, which originated in spectral graph theory, is commonly used for learning applications such as spectral clustering and embedding.
