Our two eyes receive different views of a visual scene, and the resulting binocular disparities enable us to reconstruct its three-dimensional layout. However, the visual environment is also rich in monocular depth cues. We examined the resulting percept when observers view a scene in which there are large conflicts between the surface slant signaled by binocular disparities and the slant signa...

In this paper, we propose a digital watermarking algorithm based on the Slant transform for the copyright protection of satellite images. Designed to match basis vectors to areas of constant luminance slope, the Slant transform is good for compact energy in “smooth” images. However, our earlier research work suggests that in terms of watermarking, it works better for textured images, for the en...

Four experiments related human perception of depth-order relations in structure-from-motion displays to current Euclidean and affine theories of depth recovery from motion. Discrimination between parallel and nonparallel lines and relative-depth judgments was observed for orthographic projections of rigidly oscillating random-dot surfaces. We found that (1) depth-order relations were perceived ...

This paper presents a method for imaging from the slant plane data collected by a synthetic aperture radar (SAR) over the full rotation or a partial segment of a circular flight path. A Fourier analysis for the Green's function of the imaging system is provided. This analysis is the basis of an inversion for slant plane circular SAR data. The reconstruction algorithm and resolution for this SAR...

In vision science the currently most popular models for depth perception are weak fusion models in which the final depth estimate results from a weighted average of the independent depth estimates obtained from each cue [2]. In these models a more reliable cue has a larger weight in the combined estimate. Furthermore, recent studies report that human observes combine depth cues as to obtain the...

Slant Correction is an important component of an Optical Character Recognition (OCR) system. The stronger the slant correction algorithm, the better the OCR system’s performance. In this work, a non-uniform slant estimation algorithm is presented. The algorithm uses the generalized projections of the word image. The algorithm is simple and robust. To evaluate the efficacy of the algorithm, imag...

Observers judged the apparent signs and magnitudes of surface slant from monocular textured images of convex or concave dihedral angles with varying fields of view between 5 degrees C and 60 degrees C. The results revealed that increasing the field of view or the regularity of the surface texture produced large increases in the magnitude of the perceptual gain (i.e., the judged slant divided by...

This paper presents a digits classification system to recognize telephone numbers written on signboards. Candidate regions of digits are extracted from an image through edge extraction, enhancement and labeling. Since the digits in the images often have skew and slant, the digits are recognized after the skew and slant correction. To correct the skew, Hough transform is used, and the slant is c...

This pa.per propc.)ses a method for estimat.ing surface 1oca.tion of a testurecl pla~le using spect.ra1 momeI1t.s. 13'hen a test.urec1 plane approaches a camera and sla~lt,s, tlle 2-D power spectrum concentrates around lower frecluencies and espancls to the slant direction. The sl>ectral ~nonlents also make clmnge correspc.)nclingly. The tlistance from camera, slant a,ngle a.ncl the slant, clir...